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14 Ways AWS beats Microsoft Azure and Google Cloud

Jason Li
Sr. Software Development Engineer
Skilled Angular and .NET developer, team leader for a healthcare insurance company.
February 20, 2021


AWS (Amazon Web Services)

One of the widely used cloud computing services, AWS, offers numerous featured services from data centres globally. Millions of customers use AWS owing to its low costs, more agile nature & faster innovations. With most functionality, AWS is the leading cloud platform to-date!

AWS focus on strong infrastructure technologies that aid in computing and storage of databases. It uses emerging technologies such as machine learning & artificial intelligence, data lakes & analytics, and the Internet of Things (IoT). Thus it works faster and is cost-effective for moving the existing applications to a cloud.

AWS offers deep functionality with its flexible architecture, secure cloud computing environment, and the widest varieties of databases. It is most secure providing the fastest pace of innovation with proven operational expertise.

Microsoft Azure

The cloud computing services provided by Microsoft Azure help achieve your goals with much-needed freedom & flexibility. It helps to build, manage or deploy the applications you develop anywhere for solving any challenges that come your way. Microsoft Azure provides a secure foundation that protects all customers & organizations with multi-layer security around all data-centres.

Microsoft Azure offers support for all frameworks & languages. So, it becomes easy to build all services on your terms. Continuous innovation helps you to be future-ready and Microsoft keeps supporting all developments along with forecasted product visions.

Microsoft Azure instantly provides continuous insights from the data you produce. With a combination of data warehousing & big-data analytics, your data helps you leap ahead of the competition.

Google Cloud

Google offers cloud computing services with the same infrastructure as its vast search engine. It helps in accelerating the transformation for building apps faster, making smarter business decisions, and connecting people anywhere.

With Google Cloud, develop new apps & experiences faster, enable smarter decision making across your organization, and transform the whole process of connecting & collaborating. Now you can build & invest in your cloud pretty easily and securely through Google Cloud services.

Solving the toughest business challenges becomes easier via Google Cloud Computing Services. Services such as infrastructure modernization, databases, smart analytics, AI & machine learning along with business application platforms and so much more get done through the Google Cloud.

Herein, we saw the advantages of top three cloud computing services: AWS (Amazon Web Services), Microsoft Azure, and Google Cloud. It seems Microsoft Azure and Google Cloud start falling a little behind AWS when a solid comparison between the three comes up! Now, let's look at 14 different ways by which AWS beats Microsoft Azure and Google Cloud.

14 ways AWS beat Microsoft Azure and Google Cloud

AWS (Amazon Web Services) has launched numerous products and services that are amazing innovations. Every year Amazon keeps adding new tools that keep the competition on their toes while they keep driving forward! The strong competition includes Microsoft, Google, IBM, Oracle, and SAP among others. All these organizations are finding clever ways to compete & excel in phases. However, in the majority of cases, they just about reach the level of AWS before sliding back a bit! Amazon continues to outshine everyone even though these competitors are innovating & bringing-in-success their own way. AWS cloud offers numerous databases with another separate storage facility for all your data. An overwhelming number of options are always available with AWS. So, here comes the 14 ways we are discussing:

Neutrality

Amazon plays the role of a neutral entity when they cannot put up a fair fight on computing ecosystems with their competitors. AWS gel well with everyone. Amazon Web Services (AWS) embrace the right standards with any products from their competitors. There is not a requirement for re-writing codes for accommodating AWS with Microsoft SQL Server or Oracle Database.

AWS cloud provides the right infrastructure for any of your products & services to run un-opposed. Amazon covers all its grounds extensively without masking any boundaries. Thus, it is pretty clear that AWS is capable of being as neutral as possible.

Full-Service Options

AWS (Amazon Web Services) started with an aim of delivering commodity machines and added built-on services for particular areas. One of the key areas covered included a customer service call centre (Amazon Connect). Nowadays, AWS adds more targeted services and has resources that you seek for your business to flourish. A lot of tools are available through AWS for call centres, Internet of Things (IoT), mobile app support systems, and business productivity among others. A full range of service options is available through AWS.

Container Focus

DevOps & AIOps form two areas that gained considerable momentum in the industry according to Gartner's Hype Cycle for Performance AWS focus on providing one of the innovative containers, which is a special, stripped-down version of Linux referred to as Bottlerocket. It has just enough codes for running the machine. This is very useful for teams running microservices as they can quit worrying about FTP servers in the background. Amazon has developed complete containers wherein upgrades get done in one step. It can be managed with many of the same tools you are already using.

AWS Lambda

DevOps & AIOps form two areas that gained considerable momentum in the industry according to Gartner's Hype Cycle for Performance AWS focus on providing one of the innovative containers, which is a special, stripped-down version of Linux referred to as Bottlerocket. It has just enough codes for running the machine. This is very useful for teams running microservices as they can quit worrying about FTP servers in the background. Amazon has developed complete containers wherein upgrades get done in one step. It can be managed with many of the same tools you are already using.

AWS Lambda is the cheapest way to host significant jobs on the cloud. With use cases continuing to grow, AWS Lambda manipulates most of Amazon Cloud. AWS Lambda is an answer to work through serverless commands with ease.

AWS

Broad AI Platform

AWS offers a wide variety of tools that are aimed at particular industries, which use AI technology. For instance, Amazon Comprehend Medical & Amazon Fraud Detection uses AI to plough through several unstructured medical texts as well as detecting malicious behavior respectively. Automated options like AutoGluon helps businesses & developers new to AI.

24 Terabytes of RAM

AWS works with vendors like SAP for ensuring a big scale-up to their cloud services and up to 24 Terabytes of RAM is yours in few clicks. If your Oracle databases are getting too big to handle, AWS can host them with its expanded Amazon RDS for Oracle Machines. It supports around 64 terabytes of SSD storage.

Distributed MySQL or PostgreSQL

In the case of Amazon Aurora, you choose the syntax while Aurora stores the data in a fast SSD-based virtualized storage layer. The programmers get to use their favorite open-source version of SQL. Aurora also distributes the data over multiple zones. It ensures reliability & access speed.

Burst Models

Not all cloud machines pull endless streams of data 24/7. Web servers have a high tide-low tide period. Amazon EC2 (Elastic Compute Cloud) provides a secure & resizable compute capacity. Web-scale cloud computing becomes easier for developers. This is a burst model as you get some extra access to the CPU when needed. Cost-effective solutions are on offer with the help of these models.

EC2 Spot Instances

AWS allows bidding in Amazon's spot market for purchasing instances. Save money or spend as little as possible. The other cloud providers offer discounts for heavy usage but Amazon makes sure that you get the best deal.

Alexa for Business

Alexa helps with businesses as Amazon has developed a good infrastructure for office management. Just ask Alexa to be your office assistant & you might save certain business costs if necessary.

Browser-based Development

Cloud9, purchased by Amazon for AWS, is a browser-based code editor and helps with code-editing as it works with tools that manage code-deployment. The development of Lambda functions gets done in a browser without any additional tools. No-Code options like the GraphQL API builder help develop API in a few clicks.

Free Game Engine

The Lumberyard by Amazon is a free game-engine that lets you develop games. Herein, you pay only when other users show-up and start loading your AWS machines. You get good server time while developing games.

Snowmobile

Snowmobile got developed by Amazon with regards to bandwidth. AWS drives the snowmobile to your data centre & it becomes easy to import information at the speed of your local network. When full, Amazon makes sure it is not lost with a GPS tracking system while importing data to either Glacier or S3.

Archival Processing

Glacier Select of AWS helps in writing SQL-like queries on S3 buckets. These are squirreled away in low-cost archival storage bins. Glacier finds the right bits & leaves the rest in the archive.

Conclusion

As we were discussing, the spotlight fell on 14 ways AWS beats Microsoft Azure and Google Cloud. All tools, programs, and services offered by Amazon work hand-in-hand to deliver you the best result you are seeking for. Amazon Web Services (AWS) works nonchalantly to improve your business regardless of what sector you are working in. Although all three cloud computing services are the best in the world, AWS does stay ahead of Azure and Google Cloud as discussed!