AWS vs Azure

AWS vs Azure vs Google Cloud: Which Cloud Platform is best for your organization?

The adoption of cloud computing has become a major driving force for businesses. Today, applications to drive innovation, reduce costs and increase agility have gone beyond non-premises data centres.

Infrastructure-as-a-service (IaaS) is a model where third-party providers host and maintain basic infrastructure on behalf of the customer, including hardware, software, servers, and storage.

The cloud service provider in USA and India, typically involves hosting applications in a highly scalable environment, where customers are only charged for their infrastructure.

Early concerns about security and data sovereignty have been largely addressed by the ‘big three’ public cloud vendors – Amazon Web Services (AWS), Micro Azure services and the Google Cloud services– to be cautious when it comes to only highly regulated businesses in USA and India to adopt cloud services.

According to the latest figures from research firm Gartner, this will boost the IaaS market, valued at $ 33.2 billion in 2021.

When it comes to AWS vs Microsoft Azure cloud, AWS had dominated for over a year when it entered the segment in 2006.

Now, AWS is the clear market leader globally, accounting for 33% of public IaaS and PaaS market share in Synergy Research Group’s data for the third quarter of 2019. Microsoft follows it at 16 percent and Google at 8 percent.

1. Storage Capacity

As far as any cloud service is concerned, it offers good storage capabilities. Let’s take a look at how each cloud platform provides storage capacity:

AWS Storage System:

If you compare AWS vs Microsoft Azure cloud, you can get complete services like Simple Storage Services (SSS) for object budget storage in AWS.

Besides, you can also store your data in Elastic Block Storage (EBS) for persistent block storage and Elastic File System (EFS) for storing files. 

Azure Cloud Platform:

With Microsoft Azure services, you get REST-based object budget storage, with unstructured data, queue storage for large amounts of data, file and disk storage, and data lac stores for large applications.

Azure offers a variety of database storage options. It offers three SQL-based options, Data Warehouse Service, CosmosDB, and NoSQL for table storage, Redis Cache, and Server Stretch databases designed specifically for businesses that want a solution to reach SQL server for their database access.

Google Cloud Platform:

Google Cloud services in USA and India offers an integrated object budget storage service with a permanent drive option. It offers other online transfer services as well as transfer tools like AWS Snowball.

As far as databases are concerned, GCP has an SQL-based Cloud SQL with a relational database called Cloud Spanner, designed specifically for mission-critical projects.

It offers two no-SQL choices: Cloud Bigtable and Cloud Datastore. GCP does not provide backup and archiving services.

2. Tools

AWS has been at the forefront of bringing artificial intelligence and the Internet of Things (IoT) to SageMaker to train employees and deploy machine learning.

It offers a serverless computing environment and the freedom to submit applications from its serverless repository. AWS lets you incorporate a range of IoT Enterprise Solutions for advanced customization.

AWS Tools:

As we have mentioned earlier, SSR loads application or web pages even more quickly, and thus it helps in improvising the position of the page on various search engines.

It happens because search engines like Google give preference to the online product that opens quickly.

Azure Tools:

Microsoft Azure services provide cognitive services to enhance artificial intelligence. Cognitive Services is a suite of API-supported mechanisms that give integration with on-premises Microsoft software and business pertinence.

Google Tools:

Google’s cloud-based enterprise offers natural language translation and speech benefits to transform global enterprise sync into ML application development.

Furthermore Google cloud services also offer TensorFlow, a large open-source library. Its IoT and serverless platforms are currently in the beta stage.

3. Computing Services

All platforms come with their advantages and disadvantages that can vary according to the needs of your enterprise. Let’s look at the comparison of AWS vs. Microsoft Azure cloud and Google for their computing.

AWS computing Features:

AWS offers Amazon Elastic Compute Cloud or E2C, which provides high compatibility and advanced level for customizing the cost of databases.

The cloud platform comes with increased scalability, allowing you to scale or down services according to a load of projects. Plus, you can add new patterns in a matter of seconds.

You can track your apps using AWS Auto-Scaling Monitor to measure their potential concerning your current needs without adding a price pad. They offer 99.99% availability in terms of their Service Level Agreement (SLA).

Microsoft Azure computing features:

Azure relies heavily on a network of AR and VR machines that enable computing solutions for development, testing, application deployment, and data center expansion.

Microsoft Azure services are based on open-source platforms that provide compatibility with Linux and Windows Server, SQL Server, Oracle and SAP.

Google Cloud computing Features:

Google Cloud specializes in Kubernetes containers and supports Docker containers. In the USA and India, Google cloud services offer resource management and application deployment to add or subtract in real-time environments.

You can also deploy code from Google Cloud, Firebase or Assistant.

Final thoughts

When choosing a cloud platform for your enterprise or Organization, choose the right cloud service provider  that fits your budget and offers you the right services.

Study all the features that each platform offers, see what can meet the needs of your enterprise, and then choose accordingly. Also, analyse your organizational needs to see which platform best fits your needs.


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