What is Big Data Relationship to the Cloud?

No longer merely a marketing ploy, the phrase “big data” has become a reality. Companies of all sizes understand the value of data and how to utilize it to measure success, spot issues, and reveal new growth opportunities. Machine learning also relies on massive data to train complex models and allow AI. Large volumes of data may be stored in nearly any location. To understand why these terms are often used in conjunction, you must first grasp what Big Data is and how to deal with it. What is Big Data Relationship to the Cloud, let’s explore all the possibilities.

Volume, velocity, and variety are all “Big Data” features that are sometimes misconstrued since they use “big.” Enterprises had managed enormous volumes of data in EDWs for decades, even before EDWs were invented.

The public cloud has shown to be a good platform for handling huge volumes of data in recent years. An organization does not need to own, operate, or create the infrastructure that supports the cloud as long as the cloud has the resources and services that an organization may use on-demand. Consequently, organizations of all sizes and industries may now quickly and affordably use big data solutions due to the cloud.

Cloud Big Data

Despite their distinct ideas, it is almost hard to disentangle cloud computing from big data. Understanding the distinctions and similarities between these two notions is essential to their comprehension.

The cloud provides on-demand access to computing resources and services. This means that a user in the cloud may swiftly build up to cloud computing and cloud storage infrastructure. It is possible to use the public cloud for as long as required before cancelling and simply paying for the used resources.

There is a place in the public cloud for big data analytics. Cloud services and resources may be accessed on demand by a firm without the need to construct, maintain, or manage the underlying infrastructure. The cloud has made big data solutions accessible to enterprises.

Big Data Consulting

Information extraction and analysis is extracting useful information from large amounts of data to make conclusions and improve decision-making.

Big data consulting sift through these huge datasets to uncover patterns, relationships, and insights. It is now easier than ever to analyze your data and get new insights, thanks to AI and Machine Learning.

Using big data consulting, firms may regain control of their data and use it to discover new opportunities and risks and identify and address problems. What is it, and why does it matter? We will get into that later.

Are you having a problem managing massive piled-up data? Or finding it difficult to extract the desired piece of information? Enteriscloud can give you the computing power to keep your enormous information streamlined. Without spending a fortune, you can get multiple advantages from our agile, reliable, and scalable Cloud Big Data consulting services, such as finding meaningful insights, performing data analytics, etc. Big data initiative is ready to tackle peak traffic hours and lost data with disaster recovery.

Several businesses have looked to roadmaps for advice in developing long-term plans for their operations and activities. Because of this, data management and customer service are enhanced. A good data operational model is imperative in today’s business climate since customer satisfaction is important.

All parts of data management in a firm are based on the business model, from data collection and cleansing through sharing and use. Knowledge of data flows, all parties, and technologies involved in each step of the data lifecycle is essential to provide high-quality data governance processes and security measures. 

Additionally, it is critical to set out time for more strategic activities, such as doing company analyses and making strategic decisions but Big data consulting makes it a more straightforward process.

Big Data Storage Solutions

Large-scale data storage and management and real-time data analysis are part of the “big data” infrastructure. As a result, this data may be used to get insights from metadata. Because of their low price, hard disk drives are often employed for large-scale data storage. As a result of its decreased cost, flash storage is becoming more popular. Depending on the application’s requirements, these hybrid systems may be configured with either disk or flash storage.

Unstructured data constitutes the vast majority of large-scale data sets. Object and file-based storage is often employed in huge data storage to address this issue. It is possible to store data in amounts as large as a terabyte or a petabyte using these types of storage. There are several big data storage solutions. It is possible to store large amounts of data on Cloudera, Google Cloud Platform, and Amazon Web Services. It is possible to choose from various big data solutions, including Rackspace’s Big Data, Oracle Storage, Clever-safe, and OVH’s Big Data servers.

Cloud computing makes big data technologies accessible and inexpensive to businesses of almost any size.

Big Data Cloud Solutions


Several hassles are connected with storing and maintaining large amounts of data that may be “outsourced” by employing Big data cloud solutions. Your big cloud solution provider handles all of these difficulties, including space, power usage, network infrastructure, and security.

Some of the best options include Amazon Web Services S3, Microsoft Azure-hosted Lake, Google’s data storage service, IBM’s Online Services, Oracle’s Cloud Computing Platform, and Alibaba.


Businesses cannot dispute that combining big data with cloud computing is the best way to improve performance. Even though there are a few disadvantages, such as a lack of data storage capacity, they are trivial regarding the potential benefits. Big Data and Cloud Computing are hence a perfect combination. 

A single article may not be able to convey the combined qualities of this combination properly. After gaining some expertise, you will find new data points on your own.

SaaS Integration: Introduction and Importance

SaaS is an abbreviated form of ‘software as a service.’ It is basically utilized for describing software models. In SaaS, the companies chose to buy out the subscriptions from the 3rd party/cloud vendors instead of buying the software application itself. We can call this a method of licensing and delivering as it offers the use of software as a service to the clients until the subscription stays valid. That subscription lets you use the software whenever needed. And especially if you are not planning to pay hefty amounts for a complete suite of software. It is a significant part of the cloud computing architecture and an innovative method for delivering software and applications over the internet. 

The customers and the clients do not have to know or mitigate themselves with the software but are provided the necessary resources via the subscriptions all online. The applications used by SaaS are also called web-based software. To enjoy high-performance cloud computing, get yourself EnterisCloud’s cloud software solutions because we are letting you use costly, high-powered software without paying hefty payments. This article is all about SaaS importance. 

How does SaaS work?

The SaaS business model works online and on a recurring subscription basis. The software application is owned and managed by the SaaS providers, and the SaaS providers take all the regulatory measures. The companies maintain, regulate, and provide the servers and databases which are used for software production. All the services are provided remotely over the internet, and the users can also access the software from anywhere via an internet connection. SaaS importance can be seen by the subscription model, which can be canceled anytime, and hence all the control is over on the client side. 

The most popular business models currently working under SaaS are: 

  • Customer resource management (CRM)
  • Enterprise resource planning (ERP)
  • Accounting and invoicing 
  • Project management
  • Web hosting 
  • Data management
  • Human resource 
  • Ecommerce 

Benefits of SaaS

SaaS is currently being used in many places and is a creative and quite effective alternative to modern software usage. The below points also show SaaS importance. Following are some of the key benefits of software as a service (SaaS): 

Operational Efficiency

SaaS is majorly used for its better-optimized software and the increase in operational efficiency it brings to the table. SaaS, when implemented right, can produce great results and increase the operating performance of the systems. 

Enhanced Experience 

SaaS integration focuses on giving its employees and customers the best due to its integration with the systems. It proves to be a vital part of enhancing customer and user experience. 

Saves Time and Cost 

Due to SaaS integration saving time and expenses has been easy, and hence it makes the lives of the employees and the users relatively easy. 

Importance of SaaS

Software as a service is quickly gaining popularity globally as a game-changer when it comes to overall software performance enhancement and creating a user experience like no other. SaaS functions for the seamless workflow of software and user interaction. It comes with no such intricacies as deployment issues, management hassles, and recovery mechanisms. SaaS provides a comprehensive approach to the software distribution model and gives a seamless workflow. Following explained are some of the critical aspects considering modern-day computing architecture and using software in the domain of SaaS: 

Reduction in Time 

One of the major differences between any traditional software application and a SaaS software application is that the software application is already configured and installed. The user does not have to manually install and configure the software, reducing operational time. All the resources for the application are already available, and only server provisioning is required, which can be done in a few hours hence a drastic reduction in time from days to hours. 

Scalability and Integration


Modern SaaS applications are highly scalable and easy to integrate within the systems as they are already used inside of cloud architecture. It requires no further configurations. The protocols are also different, and no other server or software is required to be bought or installed. The only requirement is the enabling of SaaS offerings within the systems. This makes the current systems scalable and creates them highly flexible with remote access. 

New and Easy Upgrades

With SaaS applications, there are constant updates within the systems, and the customer or the client does not have to pay or make any additional effort for upgrading their software. The SaaS provider upgrades the software from the back end, and the update is easily accessible to every customer. Furthermore, the cost of such upgrades is also affordable. Considering the traditional software systems and their procedures for getting any new releases and upgrades and comparing SaaS with them, the costs are almost ignorable.

Lower Costs

SaaS is beneficial for saving costs as it is already being used in a multi-tenet ecosystem with low hardware and software costs. Moreover, it is subscription-based, and a one-time payment (annually) is required, making it a better option. Another significant benefit is that you are able to upscale your customer base in a matter of minutes because SaaS lets small and medium organizations take advantage of expensive software without spending on their licensing. Since the SaaS provider owns the cloud environment, maintenance costs are minimized.

Easy to Use

SaaS overall is an easy-to-use environment and provides SaaS offerings that are already configured, requiring no further effort. Migrations from data centers and one IT environment to another are easy in SaaS systems. Moreover, SaaS also provides more than one instance of the applications and allows multiple versions to run smoothly over the whole system. SaaS also shows no outbound deployment and management issues.                


Software as a service (SaaS) is a subscription model solely based on providing high-end software methods and applications for its users at affordable costs. It is different from traditional software models and provides more productivity to the environment’s workflow. It is rapidly growing and hence will for sure be a prospect when it comes to an alternative in software models. SaaS has an innovative way of creating and developing software.

What are the Vulnerabilities of Disaster Recovery Solution?

Cloud disaster recovery is a management process enforced and used whenever a disaster occurs in a computing system. It allows quick and easy recovery for an organization’s critical system after the occurrence of any disaster. Moreover, it can also provide remote access to the computing system in a secure and virtual environment. IT staff and administrations can now easily use cloud disaster recovery (CDR) features and functionalities in a computer system to get out of trouble with immediate effect. Let’s explore the vulnerabilities of disaster recovery solutions one by one.

Role of Cloud Disaster Recovery in a System

This is the dawn of the era of modern computing. It means more and more computing services will surface, and more and more companies will shift to new and inventive ways for their benefit. It will cause an increase in software and data all over the world, and an increase in data means a direct increase in managing that data. Managing can cause a lot of intricacies leading to disasters. It is evident that cloud disaster recovery should be given prime importance.

Due to disasters, any organization can lose revenue, and it is their prime importance to not leave any stone unturned in making sure that no such thing happens. Cloud disaster recovery is one of the most efficient and straightforward methods to prevent such incidents. If any disaster occurs, it can also help adequately retrieve lost data.

Nowadays, companies are prone to such methods, and disaster recoveries are their primary focus of cloud disaster recovery such practices are compelling to large enterprises.

Regaining access to your lost data (business recovery) is no more a challenging task with our practical strategies and scalable cloud disaster recovery services designed for backing up your vital data and applications. 24/7 monitored cloud storage also comes with hardware/software upgrades to minimize the risks of single-point breakdown.

Vulnerabilities of Disaster Recovery Solutions and Systems that Use the Cloud

Nothing is perfect, and no method is guaranteed success; however, there are ways out there that enforce a certain set of rules and regulations which allow the systems to behave in a specific manner that can produce significant results. Cloud disaster recovery is a type of such method. 

It also causes the systems to be vulnerable, especially when using cloud storage, and prone to cloud architecture. Cloud disaster recovery is a process that follows strict guidelines but still can cause some vulnerabilities.

Following are some of the vulnerabilities caused by disaster recovery systems that use the cloud:

  1. Misconfigured storage in the cloud:

Organizations that usually use cloud storage are rich in data density and have large amounts of stored, managed, and computed. The use of cloud storage is for their benefit, but sometimes misconfiguration in such data resources can cause risky and irreversible storage problems, and recovering such aspects can also be vulnerable. Also, such misconfigurations can very quickly turn into a security threat to the whole cloud facility.

Following are a few reasons for such cloud misconfigurations:

  • Lack of access restrictions
  • AWS security group misconfigurations

There are special and certain APIs that, when integrated, can help in removing such errors.

  1. In-adequate authentication:

Authentication is quickly becoming a necessity in modern computing and especially in data storing systems. Cloud storage becomes a great option for authentication, and it should be considered very important. Proper authentications are important. They can also lead to errors and inadequate authentication. It should be multi-factored, and enterprises should be able to practice identity and access management techniques to create and utilize the cloud and its utilities.

  1. Loss of intellectual property:

Intellectual property (IP) is an essential asset for an organization and is prone to major security threats and vulnerabilities. The loss of intellectual property is quickly becoming a major issue in large systems. In cloud storage, where data is stored on a large scale, and online such threats are more prone to occur.

IP is the data that a company uses for its computational purposes, and it is of great importance. Data loss occurs mainly due to the following problems:

  • Loss of access
  • Data deletion
  • Data alteration

It is really important for companies to make effective measures and introduce methods that prevent such errors and vulnerabilities.

  1. Bad security strategy:

Making a good plan and strategy is half the battle won. With more and more cloud environments and data being integrated into the systems, they are prone to cyber threats and attacks, and therefore making a good strategy is important. How to tackle issues and problems which are caused by disasters are major concerns of cloud disaster recovery. Hence, companies should train their employees to make a reasonable plan to tackle such security issues.

Advantages of Cloud Disaster Recovery


Following are some of the major advantages of cloud disaster recovery:

  • Improves the failover capability of the cloud
  • Disaster recovery can also be used as a service
  • Makes the downtime flexible
  • Reliable
  • Simple and efficient
  • Is an economical option considering the alternatives
  • Easy to deploy


Exploring the vulnerabilities of Cloud disaster recovery solutions does not need a traditional infrastructure for its deployment but instead can also be easily deployed on any existing traditional data-centric environment with cloud access. It also helps significantly in removing costs and gets things done quicker, and more efficiently. This helps create faster recovery options with a relatively low spin-off.

How Artificial Intelligence Changing the Recruiting Process?

AI in the recruitment process helps companies and HR personnel. It allows recruiters to leverage their ATS more effectively. 

The most challenging component of the recruiting process is still doing a comprehensive and efficient screening of candidates. More than half of talent acquisition executives say recruiting many candidates is the most challenging component of the process. AI for recruitment technology helps recruiters hire quicker, shortlist better, and screen resumes with more fairness than ever before.

To pace with the worldwide AI revolution, choose EnterisCloud consultancy and robust infrastructure. Our first-class deep learning and cloud AI services consulting & Machine learning solutions empower your business’s cloud computing, bringing AI-driven transformations. Using ready-made intelligence for your workflows can be a breakthrough in anticipating and troubleshooting issues.

More than two-thirds of talent acquisition executives (66%) forecast a decrease in the number of recruiters working this year. Recruitment experts will need to automate their processes and acquire insights into their talent pool in the coming years. Some of the labor-intensive, high-volume recruitment operations may now be sped up or automated thanks to the development of this technology. To save time and money in hiring new staff, use machine learning and artificial intelligence (AI)!

Machine learning and sentiment analysis are two examples of technologies that can identify bias in resumes and job descriptions. Data from applicant tracking systems (ATS) is used by AI recruiting tools to get insight into your talent pool. Robotics may be used to reduce prejudice and provide insight into prior successful applicants who have stayed at the company.

Determine whether or not an Applicant is Qualified for a Specific Job

Using AI in the recruitment process will always be valuable for all sorts of businesses. The recruiter will always have some preconceived views since they are just human. Recruiter A may choose to hire a candidate rejected by Recruiter B because of their similar backgrounds. They would not even be considered for an interview by Recruiter C. Candidate evaluation standards are usually arbitrary, and hiring decisions are frequently based only on intuition. 

Humans might benefit from AI’s unbiased perspective when it comes to hiring. The use of artificial intelligence (AI) throughout the recruitment process might assist find the best individuals for a team and the capabilities they require.

Finding the best possible applicant for a job is at the heart of any company’s recruitment strategy. Companies continue to advertise available jobs despite the existence of various recruitment tools and the creation of new ones.

AI Chatbots may also recruit people for tasks that are not immediately evident when using the technology.

Cloud computing and artificial intelligence (AI) transform every aspect of an organization’s operations. Near-total automation of critical occupations and more in-depth learning are intriguing prospects. Regardless of how many occurrences there are today, market research predicts that this will only become more prevalent over time.

EnterisCloud is Useful in a Variety of Ways

Enteriscloud is assisting companies in their AI efforts through consulting and infrastructure support. To help your deep learning and machine learning applications, Enteriscloud provides storage and processing capacity. We have cloud ai services consulting services available for everyone!

With our considerable market experience, we help our customers get the most out of cloud computing for their businesses and organizations. Enteriscloud has options for both formal and informal data storage. With a single click on your dashboard, you may increase or decrease the storage capacity of your account.

Importance of AI in the Recruitment Process


The use of artificial intelligence (AI) in the recruiting process is on the rise for various reasons. Instant benefits of an AI-driven recruiting solution include changing the recruitment process and improving the overall quality of hires. AI in the recruitment process is definitely worth the money because of its advantages.

Improved Hire Quality

An important KPI for the human resources business is attracting and retaining high-quality personnel via a rigorous recruiting procedure. When it comes to HR, this has always been an issue, but AI can now help since this technology can match individuals with open jobs using data that has already been acquired, processed, and evaluated.

An AI solution may evaluate a candidate’s qualifications by comparing their skills, abilities, and knowledge to the job’s criteria. Because of the algorithm’s experience and training in looking for these matches, we can deliver reliable evaluations of each application. 

As a result of improved recruitment techniques, productivity among employees has risen. Traditional HR processes required recruiters to manually review applications to find the best applicant for a position. Overwork was inevitable due to the time and money put into recruiting. The company’s delayed recruiting methods probably cost it a lot of money in the long run.

The Need for a More Inclusive and Diverse Workforce

The importance of AI in recruitment is undeniable!

It is the responsibility of every firm to create a more diverse and inclusive workplace. Good intentions alone are not enough to get you where you want to go. For diversity and inclusion efforts to be practical, they must address any structural or cultural prejudices that may have been incorporated into the selection process. Fortunately, artificial intelligence (AI) is here to assist.

Data sets are a must to ensure a representative sample in the recruiting process. An inclusive database that does not consider variables like gender, ethnicity, sexual orientation, or appearance may be created. An exact science cannot be achieved because of ethical issues throughout the AI development process. A tool for increasing workplace diversity may be created if you know your prejudices and construct the most ethical AI solution for recruiting.

Final Verdict

Articulating your thoughts effectively is one of the most critical aspects of an interview. Job applicants, interviewers, and hiring managers all have high expectations regarding their chances of getting the job. It might be challenging for recruiters to maintain good contact when inundated with application responses.

Recruitment processes may potentially benefit from using AI in the recruitment process. An applicant’s application status, an interview date, or how their application was received may all be communicated to them by email.

Lifetime Cloud Storage Services Reviewed: Which is the Best?

There are tons of lifetime cloud storage services, but choosing the best out of all is a tough task. Below mentioned are some of the best cloud storage services.



pCloud offers storage of up to 2TB.

Free storage:

Free storage offered by pCloud is 10GB.

Supported platforms:

pCloud supports the following platforms:

  • Linux
  • macOS
  • Android
  • Windows
  • iOS


Pricing of pCloud depends on the version you avail or buy. The billing is primarily dependent on the number of users per cloud.


The followings are the two versions of pCloud:

  • Premium:

The Premium version of pCloud offers 500GB storage for $480.

  • Premium Plus:

The Premium Plus plan of pCloud takes $980 for 2TB of storage.


  1. Privacy and security:
Zero-knowledge encryption:

The biggest perk of pCloud is zero-knowledge encryption. It has zero knowledge of the assets and files you store in the cloud. Only you and the people you will allow access will be authorized and authenticated.

Two-factor authentication:

Privacy invasion is the biggest issue resolved by pCloud, unlike other major companies, organizations, service providers, and platforms. It has different authentication methods to improve security and privacy.

  1. Efficient:

The following two features make it more efficient than other cloud storage providers:

Fast file sharing:

It has the best quick file-sharing, downloading, and uploading features.

Automatic sync:

Automated sync of the data from the server to the cloud is done.

  1. Convenience:

It is very convenient to use and easy to cope with. The following features make it more convenient:

  • Collaboration tools are available
  • Easy file sharing
  • Integrated media players (audio and video players)
  • Accessible on all devices
  • Offers monthly plans too
  • Compatible with Apple and Windows devices
  • Backup is secure and reliable for both PC and MAC
  • Very flexible and customizable file syncing


Pros of the pCloud solution include the followings:

  • Efficiency and more productivity
  • Insurance of security and protection
  • Encryption and access control
  • For long term use
  • Media player integration is available


The cons of the pCloud solution are comparatively the least to other cloud storage solutions. It includes:

  • Pricing
  • Costly on demanding more encryption and security
  • Document integration is available



It offers storage of up to 5TB.

Free storage:

Only 10GBs of storage is given for free.

Supported Platforms:


The followings are the compatible platforms for it:

  • Linux
  • macOS
  • Android
  • Windows
  • iOS


Its pricing varies with the versions and selects the time of subscription payment as monthly, yearly, or lifetime.


Versions for lifetime subscription are as followings:

  • Lite:

150 GB of storage; 250GB monthly bandwidth for $99

  • Pro:

1 TB of storage; 2TB monthly bandwidth for $229

  • Pro+:

5 TB of storage; 8TB monthly bandwidth for $749


1. Economical and reasonable:

It is perfect and economical. The rate they charge for the provided services is affordable. If the user wants extra encryption, it does not cost an additional fee. The privacy of the customer is the highest priority of Icedrive.

2. Flexible and liberal features:

At the level of business and enterprises, very few companies and clouds offer the most generous part of returning money on not being satisfied by the services. If your organization is not satisfied, you can ask for your money back within the first two weeks or 14 days.

3. High security and protection:

If you visit the website and go to the encryption page, you’ll get the following options:

  • Twofish Encryption
  • Client-side Encryption
  • Zero-Knowledge Encryption

These offered encryptions are more secure and preferable to 256 AES encryption.

Share timeout:

This feature allows users to fix the timeout duration of the files. It helps with ensuring the integrity and confidentiality of confidential files.

  1. Hard drive like working:

If you’re used to using a hard drive or USB interface, then the Icedrive will look and feel great integrated into your operating system. It is an excellent tool that will allow you to easily install and manage various files on a desktop or mobile device. It works seamlessly as if it’s part of the operating system.


Icedrive has the following demonstrative advantages:

  • Guarantees money-back
  • Ensures security and protection
  • Does not charge extra for client-side encryptions
  • Very liberal with features
  • Customizable time set of shared files
  • Highly compatible with Windows, MAC, and other devices
  • Hard drive like working
  • Reasonable and affordable
  • User-friendly user interface
  • Private data encryption
  • File sharing and syncing


Icedrive works well, but the followings are some disadvantages you need to consider before going for it:

  • The availability of collaboration tools is relatively less
  • Block level syncing is not available
  • Does not suit for workloads or productive tasks
  • No customer support via chat for troubleshooting

The best option for cloud storage without paying a recurring subscription payment is pCloud, closely followed by Icedrive. If your organization has a low budget and wants to get the best cloud storage services, Icedrive is the best fit. pCloud is more flexible in syncing than Icedrive.

Maintaining your data remotely is no more a challenging task with EnterisCloud! Our heavily secured cloud storage solutions save your files online without interrupting your ongoing tasks and give you the flexibility to view/edit them from anywhere. It is time to save money by utilizing our online storage service which also promises to deliver an improved user experience. And, yes, it can be your backup storage – retrieving information in a data loss is easier with us!

Benefits of Cloud Migration

In this era of modernization, no one can deny the benefits of cloud migration services. Cloud migration is necessary for an organization, and it can benefit any enterprise or organization because of the following advantages of cloud migration:

  • Optimization and automation of the resources
  • Improved and enhanced protection and security of the assets and data
  • Highly scalable and reliable
  • Efficiency in IT operations and technologies
  • Rapid and significant increase in the development and productivity
  • Extremely flexible, affordable, reasonable, and cost-effective
  • The quick development of the applications and software
  • Rapid issue resolving
  • Cost reduction of hardware and infrastructure

How can a Cloud Migration Consultant help?


A cloud migration consultant can help your organization in the following ways:

  • Identify cost-saving opportunities
  • Helps to make new migration plan
  • Makes the execution of the migration plan easy
  • An environment based on the well-structured infrastructure and framework can be created
  • Evaluation and analysis of the existing applications
  • Performing quality assurance tests and checks

Reasons to Hire a Cloud Migration Consultant:

The cloud migration requires a Cloud Migration consultant. The followings are the key reasons to hire a cloud migration consultant:

  • Better skilled:

Cloud computing is the latest technology, and specifically, certified specialists are professionals in this field. This personnel and consultants know better than ordinary IT staff. They have more experience and knowledge of cloud migration, adoption, managing, monitoring, and regulating. Usually, IT staff has not focused on cloud migration planning, engineering, and managing infrastructure.

  • Busy IT staff:

At cloud migration, in-house IT staff has enough work and tasks to perform. If cloud migration monitoring, regulation, and management is assigned to the IT staff, it will burden the IT personnel. Hiring a cloud migration consultant can help manage the migration of data and assets to the cloud. Maintaining your data remotely is no more a challenging task with EnterisCloud! Our heavily secured cloud storage solutions & data storage consulting services save your files online without interrupting your ongoing tasks and give you the flexibility to view/edit them from anywhere.

  • Less downtime:

Cloud migration from servers and data centers to virtual and remote locations is easily manageable. It requires the least time for migration and adoption without interrupting business continuity. Less will be downtime, more efficient migration, and process. For efficient migration, a well-experienced cloud migration consultant is required.

  • Cloud migration:

In cloud migration, data and assets are transferred from conservative data servers, which are unscalable, to the cloud, which is highly scalable. So, a cloud migration requires the involvement and handling of expertise and specialists of both servers and clouds. A cloud migration consultant team is necessary for such conditions to prevent data and asset loss.

  • Quick deployment:

The process of cloud migration and adoption causes downtime for the business. Rapid deployment is mandatory for business continuity and to prevent any loss. Migration consultant ensures smooth and fast deployment without causing any discomfort to the customer. Consultant plans set deadlines and highlight the possible issues. Without a consultant, it takes as much time as on-premise servers take for deployment.

  • Privacy and security:

Switching to cloud computing from on-premises resources directly relies on the service providers for the security and protection of your private and personal assets. In some cases, your sensitive data and assets are exposed to malicious attacks, and your staff is unknown of these risks. Cloud migration consultants can assist an organization in choosing security tools such as firewalls, encryption techniques, and policy updates according to the risks and threats. Change your cloud if you are facing cyber attack issues. There are tons of benefits of cloud migration if it happens to your cloud data. 

  • Cloud platform management:

After completing the cloud migration, other factors and issues arise, such as salaries of the employees and management and monitoring cloud performance. Hiring a cloud consultant is mandatory in such cases, as the time taken by such activities will be saved by other staff and managed efficiently by the professional. A consultant optimizes and monitors the utilization and pricing of the resources according to the requirement.

  • Implementation of the organization’s strategy:

A cloud migration consultant helps identify and find the model that fits the best according to the organization’s strategies. Without a consultant, an organization would not make focused and concentrated strategies and policies that might lead to extreme loss to the business. Cloud migration consultant helps to make clear strategies for the implementation.

  • Green technology:

Any enterprise or organization switches to cloud computing due to the extreme efficiency of cloud services. All services and resources of cloud computing are streamlined to enhance the efficiency of the system and cloud migration. Cloud migration consultant helps the organization to evolve green technology.

  • Stay on track:

It is not easy to implement and execute a cloud migration plan without a cloud migration consultant. A cloud migration consultant helps an organization’s cloud migration plan to stay on track. It highlights and outlines the key phases and cloud migration and adoption stages. A well-structured and well-managed cloud migration plan and strategy are required to stay on track.

  • Prevention of business delay:

Hiring a cloud migration consultant can make it easy for others to focus on concentrated tasks. It helps to concentrate on the most significant issues, and other staff has more time for dealing with the known and unknown risks. Consultant companies can face a severe delay in dealings without cloud migration because the team would not be focused.

What is Disaster Recovery as a Service?

Disaster Recovery as a Service (DRaaS):

A cloud computing service that allows the user to back up their data and assets by providing third party-services, and in the case of failover, it includes data recovery. This backing up data and IT infrastructure are known as Disaster Recovery as a Service (DRaaS). The organization does not have to arrange all the resources independently; it relies entirely on the DRaaS provider’s services and resources.

Working of Disaster Recovery as a Service:

DRaaS provides disaster recovery by backing up the data and assets in virtual locations. This whole process includes the following key steps:

  • Replication:

The assets and the data on the primary site are replicated, and that replicated data is transferred to the remote and virtual environment established by the DRaaS. The replication process must include the physical and virtual servers. To avoid data loss at the time of failover, DRaaS should take snapshots of the data and assets time by time.

  • Failover:

The speed is the primary and significant factor at the failover time because it determines the amount of data loss and recovery.

  • Failback:

After the failover, it is mandatory to restart the replication process as soon as the completion of failback.

Need of Disaster Recovery as a Service:

Disaster Recovery as a Service

Followings are the main five reasons for an organization or enterprise to go for DRaaS:

  1. Security-related attacks
  2. On-premises power outages
  3. Network or hardware failures
  4. IT system, software, or application errors
  5. On-premises data center failures

Due to the reason mentioned above, every organization and business needs DRaaS. DRaaS provides the best data backup and recovery services at the time of the disaster.

Disaster Recovery as a Service Model:

There are mainly three models for DRaaS available to the customer organization, such as:

  • Assisted Disaster Recovery as a Service:

This type of DRaaS model fits the organization’s customized software and applications. The Assisted DRaaS is responsible for providing IT expertise and services to optimize and enhance the disaster recovery plan. 

According to the requirement, the customer independently or dependently implies the disaster recovery plan, assisted DRaaS.

  • Managed Disaster Recovery as a Service:

The Managed DRaas model is the best for an organization that lacks IT expertise and time. In managed DRaaS, Disaster Recovery service providers are fully responsible for resources, services, management, optimization, and infrastructure and application changes. The customer is not responsible for any Data Recovery plan or benefits.

  • Self-service Disaster Recovery as a Service:

If your organization has experienced and specialized IT expertise and disaster recovery personnel, then the self-service DRaaS model is the best fit. It is the most reasonable and affordable model as the customer has to manage, optimize, monitor, test, examine, and plan the disaster recovery itself. The customer has to host IT infrastructure, hardware, software, and other resources on its own.

Pros and Cons of DRaaS:

DRaaS has its pros and cons simultaneously. Advantages and disadvantages of the DRaaS include the followings:


Pros of DRaaS are as followings:

No duplication of storage:

While availing DRaaS services, there is no duplication of storage hardware in the data recovery center and primary data center.

Relaxed in-house IT staff:

The IT staff is free of backup and data recovery worries and can focus on other responsibilities.

No need for the secondary data center:

DRaaS excludes the need for the secondary data center for recovery and backup purposes.

Provision of Data Recovery Capabilities:

It provides data recovery capable expertise and specialists to establish an effective and enhanced data recovery plan.


Disadvantages of DRaaS includes the following:

Rely on service providers:

The most significant disadvantage of DRaaS is that the customer has to rely on the service providers at failover or disaster.

Trust the disaster recovery services:

The organization must trust the DRaaS service providers to implement the infrastructure and disaster recovery plan. The organization has to entrust the DRaaS service providers to meet the organization’s recovery time objective and recovery point objective.

Potential performance issues:

Cloud applications and software may experience performance and deployment issues.

Bandwidth challenges:

There might be any bandwidth challenge while replicating data and assets.

Key considerations to choose DRaaS:

While selecting the DRaaS, the followings are the key considerations to keep in mind for any organization or enterprise:

  • Access controls
  • Assistance by the DRaaS
  • Reliability of the DRaaS

Cost of DRaaS:

The cost depends on the model you select. DRaaS is very reasonable and cost-effective. Your organization has to pay for the services monthly. If any organization does not invest in Disaster Recovery, they might lose up to $ 100,000 per hour of downtime.

SaaS vs Cloud: What is the Difference?

SaaS vs Cloud Computing is often used interchangeably. Even though they are linked and have a lot in common, there are significant differences between the two approaches.

Cloud computing has been characterized by the National Institute of Standards and Technology as “on-demand network access to a shared pool of customizable computer resources that may be promptly granted and released with no administrative effort or service provider engagement.”

Some claim that SaaS helped pave the way for cloud computing, a far more comprehensive platform on which SaaS operates. Cloud computing refers to the use of Software as a service. It’s all about SaaS (Software as a service): Software delivered to a computer via the internet.

To improve the user experience, cloud products can collect large amounts of anonymized data and use this information within algorithmic Software to enhance the user experience; for example, by making their cars drive more safely, recommending new music, or assisting you in determining the root cause of a network issue (LogicMonitor, humble brag). The advent of SaaS-based solutions is helping to usher in this new age.

SaaS vs Cloud

When it comes to Software that isn’t stored on your premises, SaaS refers to it as a service rather than a product. Instead of being a part of another software, it is a separate application.

This is hosted in the provider’s data center instead of an on-premise solution that would employ servers and storage in your own data center.

On-premises software is licensed one way; SaaS software is licensed another. Software-as-a-service means that instead of obtaining an application license and then paying for the ongoing costs of maintaining and upgrading it, an application may be “rented” for an agreed-upon period.

The SaaS application’s fees are included in the monthly subscription charge, eliminating the need to acquire and install equipment and then pay for software maintenance.

However, Cloud Computer provides computer resources not bound to a specific location. The infrastructure and services cover everything from virtual machines and servers to data storage, communications and messaging, network bandwidth, and development environments.

Concerning the debate between SaaS vs cloud computing, Developers, application providers, experienced computer users, and corporate IT departments may rent equipment and services in the Cloud rather than the general public.

Your servers must be accessible for Cloud Computing to function correctly. Whether or not your SaaS applications were built using Cloud services is immaterial; the infrastructure that supports them may have been.

When we talk about SaaS vs Cloud, it was a ‘time-sharing system’ back in the 1960s when SaaS first appeared. Many “dumb” terminals without CPUs were linked to a mainframe or minicomputer to offer centralized hosting for commercial applications.

Employees were permitted to use their PCs to run applications, but the company’s central server was still storing the most critical information. SaaS has regained its attractiveness because of a reduction in bandwidth costs.

SaaS and Cloud Differences

saas vs cloud

Because of SaaS, the Cloud has expanded into a larger platform for SaaS. A single usage of Cloud Computing that goes beyond just delivering Software is Software as a Service (SaaS).

All of your data will be held by your service provider if you choose a SaaS solution, such as Dropbox. You have no control over what your service provider may and cannot do with your data.

As opposed to traditional methods of storing data, cloud computing allows you to have more control over your data.

Even if the servers aren’t close by, you can still manage the Software and its data. You may migrate your cloud storage data to your storage at any moment.

High-value apps will likely be moved to the Cloud by Cloud software, while SaaS is projected to continue dealing with free or low-cost apps and services.

Cloud computing differs from SaaS because it is hosted on a customer-owned server, while SaaS requires a third-party host. Your data may be used in any way the service provider deems fit without your consent.

Data ownership and security benefits outweigh the negatives in most cases when using SaaS. SaaS applications need a user to first log into their vendor’s website. 

Even though SaaS applications are hosted “on the cloud,” the Cloud is not synonymous with SaaS itself. For example, a free email service processes and keeps our data for us.

Most of us will continue using the service even if we don’t know about the company’s privacy policies. Your data may be more easily managed on the Cloud.

While the servers themselves may not be in the same place, data and Software may be backed up and saved on the Cloud. The data is yours after it leaves the Cloud, just as with a traditional on-premises server farm.

Final Verdict

SaaS vs Cloud Computing is a never-ending discussion. I hope you understand that cloud software solutions are often the most crucial choice for small enterprises looking for low-cost solutions. Cloud computing makes more sense for larger firms with more in-house capabilities and a need or desire to have more control over sensitive data.

These organizations can also afford the infrastructure expenditures readily. In other words, as the Cloud’s capabilities grow, so does its complexity. There may be a separation between on-premises and cloud-based infrastructure, platforms, and services.

AWS vs Google Cloud vs Azure Market Share

Nowadays, cloud computing has become an essential part of modern data storage and manipulation. It is important for data protection, data storage, and performing tasks on that data. There are two main cloud computing types: Public cloud and Private cloud. 

The public cloud refers to the cloud services that an individual or an organization receives via the internet.

All the cloud reserves are stored on the cloud servers of the vendors, and the necessary services can be easily accessed from there. It can also be provided to multiple customers simultaneously and hence is named a public cloud.

Whereas private cloud solutions refer to cloud services that are completely designated to an individual or an organization. No other person is authorized to access that.

They are hosted by private cloud systems provided by the vendors and the cloud service providers. More than one customer cannot use a private cloud at a single time. In this topic, we discuss will AWS vs Google Cloud vs Azure Market Share. 

AWS vs Google Cloud vs Azure Cloud Services

The fight of being the best cloud service provider is largely between the three giants in the computing world, Amazon, Google, and Microsoft. The cloud services provided by Amazon are called Amazon Web Services (AWS).

Microsoft’s services regarding cloud computing are called Microsoft Azure. Besides, Google cloud services are known as Google cloud. 

This article also describes the in-depth differences between the three companies and their cloud services. 

AWS Cloud Services

AWS and Amazon are generally dominant compared to Microsoft and Google when it comes to providing complete cloud services and their overall maintenance. They are also the leaders in market shares as AWS and Amazon hold 33% of the market share in the cloud world. 

AWS has a vast toolset that continues to grow each year, and its dominance is unmatched yet. However, the services they provide can often get costly. 

Advantages and Disadvantages of AWS

AWS vs Google Cloud vs Azure Market Share

Huge Scope

When it comes to cloud computing and providing cloud services, AWS has a huge scope, and no other company comes close to them regarding the variety and amount of cloud services they can provide.

Most Experienced

As the pioneers in starting general cloud services, Amazon and AWS possess more experience than any other company. They only are reputed quite highly.


Probably the weakest point of the AWS cloud services is the cost of their operations and how they are far more expensive than any other cloud service provider in the market.

Although the standard and quality of the products and their work are very high for many people, it can get too expensive.

However, the pros of the AWS cloud services far outweigh the cons and make it a leader in the AWS vs. Azure vs. Google cloud market share.

Microsoft Azure Cloud Services 

Azure is the product launched by Microsoft, and it is majorly responsible for providing cloud services and acts as a cloud vendor. Azure is a close second to AWS and Amazon and has 18% of the market share. 

It gets second place in AWS vs. Azure vs. Google cloud market shares. Although Azure came quite late, its association with Microsoft proved vital. Hence it got a head start that some others may not have access to.

With the help of a leading tech company at its back, Azure is quickly transiting towards a better and more advanced cloud service vendor.

Advantages and disadvantages of Azure cloud Services

Affiliation with Microsoft

Azure’s affiliation with a company like Microsoft proves to be vital. Hence a lot of the customer and market of Microsoft is shared by Azure. The clients and customers trust Azure to be on the standards as they already have built trust with Microsoft.

Operational Costs 

Unlike AWS, Azure has way fewer operational costs and is a more economical approach to customers and clients.


One of the major reasons for Azure’s downfall is the variety they possess, and although the quality is up to the mark, the lack of vast features and variety is a big miss.

Google Cloud Services

Google is a leading tech giant globally and has also launched its cloud services known as Google cloud. Google cloud services are also highly appropriate for individuals and companies looking for a small number of cloud storage and services that are economical and user-friendly. 

Google cloud services are ranked third in the AWS vs. Azure vs. Google cloud market share. Google’s cloud services are all developed and maintained by Google itself. They have a high reputation in the market but are not quite enterprise-centric like the rest.

Advantages and Disadvantages of Google Cloud Services:

High Compute Offerings

Google cloud services offer high computing offerings to their customers and the organizations that partner with them. The services that they offer range from Big Data to Data Analytics and their cloud platforms.


The operational costs of the services provided by Google regarding the cloud are quite affordable. Organizations and companies prefer the services provided by Google just because of this fact alone.

Not Enterprise Friendly 

The major downside of the cloud platforms and services provided by Google is that they are not enterprise-friendly and don’t give much effort into working with enterprises. Hence, a huge market of enterprises that need cloud services and are thinking of shifting towards the cloud is not fond of them.


The major three competitors in the cloud world are Amazon, Microsoft, and Google. The cloud services they provide are of high standards, but they all have their pros and cons. It is all dependent on the client and customer’s choice and needs to decide which one is better. 

However, the market share of AWS is more than Azure and Google at 33% and leads the race in AWS vs Google cloud vs Azure market share. 

What is Multi-Cloud Architecture?

So before moving ahead with our questions and concerns, let’s have a quick look over the basic concept of exactly what is multi-cloud architecture.

What is Multi-cloud Architecture: Check its Business Benefits

A multi-cloud architecture leverages services from various cloud providers to gain business benefits such as increased innovation, access to specialized hardware that is not accessible on-premises, and the capacity to extend computation and data storage as the organization grows.

A multi-cloud approach may include a combination of public cloud and private clouds or numerous public cloud providers working as one.

Resilience is provided through a multi-cloud architecture. Using a dispersed distribution for apps allows you to use cloud computing environment characteristics for maximum efficiency.

With the help of various clouds and services and adapting apps to their capabilities will always result in more efficient and better outputs. For instance, one cloud’s superior GPUs for specialized workloads and a separate cloud’s best-in-class analytical engine.

A multi-cloud architecture is logical for a variety of reasons. You may employ the newest innovations in technologies and services, adopt a pay-as-you-go approach for the resources you utilize, and migrate across clouds as they compete in an advanced environment and pricing by utilizing the best cloud for each job.

By splitting your workloads, you may save expenses, increase resilience, and protect your sensitive data. 

The Benefits of a Multi-Cloud Architecture

Now the question is “Why Should You Use a Multi-Cloud Environment?”. And the answer cannot be given in a single line. Risk management is a key benefit of a multi-cloud architecture. If one cloud provider’s system goes down, you may instantly switch to another vendor until the service is restored. Viola – Problem solved!

There are, however, additional advantages to employing a hybrid multi-cloud architecture. Let’s dive into the details:

  • If business users are dispersed, adopting different cloud service providers due to proximity might boost performance.
  • Because your leading cloud provider may not have a footprint in places where data must be kept in-country, using a second cloud provider there will satisfy data localization rules.
  • Keep your research and deployment processes separate from your manufacturing environment.
  • Adding public cloud features and scalability to data centers
  • Keeping seller lock-in at bay
  • Hosting programs at the most convenient location for end-users

Deploying in a Distributed Environment

Tiered cloud migration of programs and data can be cost-effective to handle your resources.

Multi-cloud strategies and hybrid multi-cloud architecture are frequently used by businesses to operate mission-critical and confidential apps in a cloud infrastructure while shifting less essential tasks to a public cloud for enhancing overall performance.

Hybrid Cloud on Multiple Levels

In a multi-cloud scenario, you may wish to isolate front-end apps from backend applications.

Applications for the Front-end

Front-end apps are closest to end-users and require frequent changes. These apps often handle the client or user interface but do not directly hold large quantities of data.

This is required for keeping the user engaged on your site for a longer time.

Application for the Backend

Backend apps, on the other hand, are usually all about data. It must be managed and secured. Front-end apps would be moved to the public cloud in a layered hybrid cloud system, whereas backend applications would be kept in a more encrypted VPN cloud and on.

Some workloads, such as data for analytics that is transferred up to the cloud for processing because the latency to draw from on-premises servers is too high, are better suited to the cloud. Other data is more sensitive or subject to compliance laws, necessitating on-premises storage.

Final Verdict – What Can It Bring To Your Business?

Now, you must have understood what is Multi-cloud Architecture, its use, and its benefits. Establishing a multi-cloud approach offers several business benefits if firms take the time to develop and create the necessary architecture.

Too many firms shift to multi-cloud on the fly. They put on new cloud services or solutions rather than taking the time to assess and carefully construct the optimal option.

Despite the fast use of cloud computing, many cloud ventures fail due to inadequate planning. According to IDC research, just 11% of businesses have maximized their cloud deployment.

This is why, prior to execution, you must explicitly define the scope of your multi-cloud approach. Your multi-cloud architecture should be built with a strategic eye toward discovering and prioritizing use cases that correspond with your business objectives. Taking a step back and designing from the ground up is often the best method.

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