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TECHNOLOGY

6 Top Cloud Consulting Services to Consider in 2022

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6 Top Cloud Consulting Services to Consider in 2022


Since the pandemic, the digital shift accelerated due to remote work, and cloud computing has transformed into the de facto decision of IT.

It has already reshaped the way companies do business. However, cloud consulting service providers have also created value in this niche. The top service providers have been continuously involved in rapid adoption and growth to modernize operations and expand IT capabilities

If you are looking for the top best cloud computing services in 2022, this is the right place for you to find out. We’ve compiled a list of top cloud service providers in 2022. 

Let’s explore them one by one.

Things to Consider while Choosing the Best Service for your Business

The Multi Cloud Era Where IT Freedom Becomes a Business Strategy

Cloud computing services help businesses save money, boost security and establish high-quality services. If you want to adopt cloud consulting  services, you can consider a few essential things while choosing the best one for you. 

  • It’s important to consider what you need and what kind of problems you are trying to solve with the cloud computing services.

  • It’s best to keep in mind what your business model is and what features are essential and practical for your business. 

Even though most cloud computing services offer similar services, you can check out the following key features and choose which one works best for your company.

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Top 6 Cloud Service Providers in 2022

The Surge for Cloud Data Integration Solutions Why Its Happening and How to Proceed

1. Amazon Web Services (AWS) Cloud

One of the most popular cloud computing services is AWS Cloud. Amazon Web Services is a cloud service provider, which can be used independently. In addition, AWS can be used collectively for a broader experience. With a blend of AWS and Elastic Compute Cloud, users can create interactive solutions for their websites.

Since AWS shares the highest portion of the top cloud providers’ market share, it has come out as the number one global vendor for cloud services. It offers around 200+ IaaS, PaaS, and SaaS cloud services, including public and hybrid contributions. AWS Cloud also includes high-performance computing, containers, the IoT, edge computing, eCommerce, machine learning, VR/AR, and serverless computing. AWS has a presence in  approximately 240 nations with over 80 accessibility zones. 

Features

Pros

  • It has several use cases, including cloud migration, cloud operations, content delivery, database migrations, analytics, edge computing, and front-end & mobile development.

  • Users can also use AWS’s Elastic Compute Cloud if the organization is an enterprise, startup, or public sector. 

  • When it comes to setup, Elastic Compute Cloud is easy for beginners.

Cons

Pricing: 

It encompasses different pricing solutions such as pay-as-you-go, pays less by using more, etc. 

2. Microsoft Azure

A cloud computing platform and online portal, Microsoft Azure allows its users to access and manage cloud services and resources provided by Microsoft. It offers virtual machines and storage documents that are durable and highly available. It has scalable cloud storage and functional cloud servers. Microsoft Azure has many comprehensive services, which can be used for different needs. 

Features

  • Flexible

  • Scalable

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  • Unique storage system

  • Enhanced existing IT system

  • Strong support in Analytics

  • IaaS (Infrastructure as a Service)

Pros

  • It has a SQL database, which offers managed and SQL in the cloud application. 

  • It automates many repetitive tasks which means that the users can focus more on innovation rather than trying to maintain infrastructure. 

  • Due to its hybrid cloud services, it is easier to create cloud-based apps for web and mobile. 

  • Azure also allows integration  of any framework, language, and tool. 

Cons

  • The virtual machine console access has some disadvantages and deficiencies.

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  • The ease of access is also a problem for some businesses. 

  • It would be better if there were more room for OS support.

  • Speed is slow and can be an issue for some businesses.

  • It has complicated pricing. 

Pricing

The pricing details differ depending on different scenarios. The cloud users can contact the sales and calculate pricing for their cloud offerings and cloud environment. 

3. Google Cloud

Google Cloud enables users to unify data across your business with storage space. Put simply, it works in a straightforward and open way to help cloud users to bring their data together. Thanks to its smart analytics and database solutions, Google Cloud Platform is one of the most convenient cloud computing providers. 

Features

  • Hosting: The Google Cloud platform offers two hosting options: the App Engine, their Platform-as-a-Service, and Computes Engine as an IaaS (Infrastructure-as-a-Service).

Pros

  • It is a user-friendly cloud-based service with a straightforward interface. 

  • Its service offerings include smart analytics to have better insights into user’s data at any scale. Its AI also simplifies analytics for  cloud users.

  • Google Cloud is considered as a security-oriented cloud computing service. It gives the highest level of security since the importance of security level issues is essential. 

Con

  • Google Cloud’s dependence on a third-party may not be ideal for some cloud users.

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  • The tutorials and help documentation of Google Cloud Platform need to be improved and updated.

  • It’s pricing is comparatively higher.

Pricing

The pricing of Google Cloud may differ depending on the different business models. For more information, users can contact the sales for detailed pricing information.

4. IBM Cloud

One of the most used cloud providers, IBM Cloud, mainly focuses on IaaS, SaaS, and PaaS services. It is among the innovators in the cloud space and offers public, multi-cloud, and hybrid clouds, which are intended to handle a variety of functions, such as storage, networking, AI/ML, blockchain, automation, containers, security, and even Quantum computing. IBM Cloud has 60 data centers operating worldwide.

Features

Pros

  • An open and managed cloud service provider, IBM Cloud provides cloud management and cloud migration. 

  • IBM cloud can easily integrate with many other platforms, making cloud computing functional.

  • The data migration solutions can enhance your data integrity. Users can also increase the ROI of their businesses. 

Cons

Pricing

The pricing plans may differ according to different cloud services. Users can also check the IBM cloud cost estimator to calculate the pricing of a wide range of cloud technologies.

5. Oracle Cloud 

A hybrid cloud service, Oracle Cloud is generally used by development teams and IT administrators. It offers a wide range of integrated public cloud services and apps, including IaaS, PaaS, and SaaS on-premises cloud capabilities. It mainly focuses on services designed specifically for tasks such as SCM, EPM, ERP, marketing, and sales. It also supports Kubernetes, AI/ML, IoT, and other digital technologies. 

Features

  • Security Assessment

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  • User Assessment

  • Data Discovery

  • Data Masking

  • Activity Auditing

Pros

  • It has a cloud backup and disaster recovery that makes the user’s cloud safe and easy to manage if errors occur.

  • Easy migration of data for cloud users.

  • Its FastConnect feature allows its users to build multi-cloud environments. 

Cons

Pricing

To know more about the plans, it would be helpful to contact the sales team to learn more about the service pricing that fits business needs. 

6. Alibaba Cloud

Alibaba Cloud is a cloud computing service which can be used independently. It is the best option if users prefer cloud computing services because it provides better security to web apps. The company has been leading in cloud computing and AI since 2009, and offers services to thousands of enterprises, government organizations, and developers in more than 200 countries and regions. 

Moreover, it also offers hybrid cloud services as a cloud business. Being one of the most used cloud computing companies, Alibaba has diverse solutions that can fit users’ business needs. 

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Features

Pros

  • It helps users build an auto-scaling system and adjust compute capacity related to traffic functions.

  • It is easy to migrate data from an on-premises store to Alibaba Cloud. Cloud users can migrate their eCommerce websites to public cloud providers. 

  • Its underlying infrastructure includes global virtual desktop infrastructure. 

Cons

  • New into the US cloud market.

  • Some of the website tools such as online documentation and pricing calculator are not as advanced as some other cloud providers.

  •  There is also a potential compliance issue, since Alibaba is not an American company. Therefore, there is a risk of sensitive data leakage on servers entirely outside of the U.S. Or, the chances of completely losing the data are also high. 

Pricing

The developer plan starts from $19. The business plan starts from $100, and the enterprise plan starts from $8,000. A free trial is also available. 

You have just gone through some critical cloud service providers in 2022. If a platform suits your organizational needs, you can reach out to them as per your needs. If you want to share your thoughts with us, comment below.



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TECHNOLOGY

How Blockchain and Big Data Can Work Together

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How Blockchain and Big Data Can Work Together


Big data and blockchain work well together by providing more security and integrity. 

One is transforming data management while the other is changing the nature of transactions altogether. Could they create an even more significant impact on the industries by binding together – big data for blockchain or blockchain for big data?.

Big data technologies first came into the picture at the dawn of this millennium to meet the computational needs of large datasets in the Internet-era. Proprietary applications like BigTable by Google and ZooKeeper at Yahoo showcased the potential of big data. However, the potential could only be tapped into after open-source projects such as the Hadoop File System (HDFS) and Hadoop MapReduce hit the market. Since then, big data has snowballed to transform how companies manage their data in the 21st century. Satoshi Nakamoto, an anonymous mystic individual, introduced the world to blockchain in 2008. It was developed in an attempt to solve the problem of double spending in transactions by eliminating the need for a third party in financial transactions. Blockchain also gave the world its first digital cryptocurrency – the bitcoin. Since then, the concept of blockchain has rapidly evolved to provide robust solutions to problems persisting in a wide array of industries. Now that both big data and blockchain are established as effective tools to tackle issues in different domains, we look forward to – possible methods of integrating both big data and blockchain to deliver even better solutions to specific problems, or as we’ve called it in this article, blockchain for big data and big data for blockchain.

How Big Data Works With Blockchain

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A lot of governments have had trouble with the anonymity clause of blockchain. Despite being favored for its security and infallibility, blockchains are turned down for not being able to track stakeholders in transactions, thus being a preferred choice for illegal trade. Big data applications can help make blockchains trackable by managing structured datasets of wallet addresses and their owner details. This kind of infrastructure can convince governments to adopt blockchain as a platform for transactions that demand speed, safety, reliability, and traceability – thanks to big data for blockchain.

The Close Ties Between Blockchain and Big Data

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Big data is comfortably dealing with huge sets of data, but some issues in its infrastructure have posed a problem in the widespread adoption of the technology. The big data infrastructure is centralized to a server location that offers complete unconditional control of data to the ones who have access to the server. This ‘ownership’ creates a problem when big data infrastructure is to be shared between different companies or even different regional offices of the same company. Besides, having multiple copies at different locations is not a solution because it puts a burden on resources and also creates confusion while determining the most updated data resource. Furthermore, now that big data resources are being traded among different entities, the legitimacy of a data resource poses a concern. With a blockchain for big data, we can create a decentralized data resource to which every one has full access. We can also track updates to the data resource on the blockchain, eliminating the need for and confusion due to multiple copies. Moreover, data transactions can be verified for legitimacy using blockchain concepts like proof-of-work or proof-of-stake and at the same time blockchain can provide a robust financial platform for data transactions between entities.

It is incredible how both of these technologies – big data and blockchain – can together significantly improve the usability of each other. The techniques can help create a hybrid infrastructure on pillars of big data and blockchain. The infrastructure will be flexible for different application types, like its parents – big data and blockchain.

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