Cloud storage companies have made the real and digital world a better place by touching the lives of millions. Even the simplest cloud deployment in the market offers hundreds of options. Therefore the market is highly competitive, and like any other sector, it has two market leaders- AWS and Azure battling to be the BEST TOOL. But how do I decide who wins AWS vs Azure? To determine this, let us explore the multiple factors, such as cloud storage, pricing, database, network, etc.
What is AWS?
AWS is Amazon's cloud web hosting platform which extends fast, flexible, reliable, and cost-effective solutions. Amazon Web Services is one of the top cloud service providers which offers services in the form of building blocks; which can further be used to create and deploy any kind of application in the cloud. It is one of the most popular cloud service providers as it was the first to enter the cloud computing space. It is one of the cloud companies that offer Hybrid Capabilities and per hour billing.
What is Azure?
Azure is Microsoft’s public cloud platform. It is an open-source and adaptable cloud platform that helps in development, data storage, service management & hosting solutions. Azure, like other cloud service-providing platforms, relies on a technology known as virtualization.
LET’S BEGIN THE TUG OF WAR!
CRITERIA 1: STORAGE
All the Successful cloud storage providers rely on sufficient storage to get the job done. In this tug of war, AWS vs Azure, both are equally strong in this criterion. Azure’s storage capabilities are extremely reliable. However, AWS’ storage services are longest running.
Azure’s storage mechanism is referred to as Blob storage, VM-based volumes, and AWS’s is called Simple Storage Service (S3), which offers high availability and automatic replication across regions.
CRITERIA 2: PRICING
Cost is a significant factor of attraction for any organization planning to move to the cloud. With constantly increasing competition amongst cloud service providers, there has been a persistent downhill trend on prices for quite some time now. When looking at AWS vs Azure, both offer free introductory tiers with regulated usage limits that let users try and use their services before they can buy.
Both the cloud providing giants have a pay-as-you-go structure so that one can change or end the contract anytime if things not working out. AWS charges per hour, with instances purchasable; the On-demand- pay for what you use; Spot- bid for extra available capacity and Reserved - for 1-3 years with upfront costs based on use.
Azure, on the other hand, charges per minute, offering a more precise pricing model than AWS. It also offers short-term guarantees allowing you to choose between monthly or pre-paid charges.
CRITERIA 3: COMPUTE
If you are looking out for a cloud service to invest in, it is obvious that you would ensure that the selected cloud service has enough horsepower to keep up with your office's demands on a day-to-day basis and during high-traffic periods.
In AWS vs Azure; AWS’ most important solution is its EC2 instances which provide scalable computing on-demand and can be modified according to needs. It offers the biggest range of services, close to 100 across compute, storage, database, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications. On the other hand, Azure’s compute offerings are established on VMs with multiple other tools such as Cloud Services and Resource Manager which help deploy applications on the cloud.
CRITERIA 4: DATABASES
All software applications today require a database to keep a record of all the information. Azure vs AWS both come down to provide database services, irrespective of whether you need a relational database or a NoSQL offering. Amazon’s Relational Database Service (RDS) and Microsoft’s equivalent SQL Server database both are highly accessible and durable and also provide automatic duplication.
AWS works flawlessly with NoSQL and relational databases providing a strong cloud ecosystem for big data. AWS’ core analytics offering EMR helps set up an EC2 cluster and provides integration with various AWS services. Azure also supports both NoSQL and relational databases as well Big Data through Azure HDInsight and Azure table. It provides analytical products through its elite Cortana Intelligence Suite that comes with Hadoop, Spark, Storm, and HBase.
Amazon’s RDS endorses six popular database engines; MariaDB, Amazon Aurora, MySQL, Microsoft SQL, PostgreSQL, and Oracle. While Azure’s SQL database service is exclusively based on MS SQL Server. Azure’s interface and tooling make it easy to perform various database operations. AWS on the other hand has more instance types which one can provision and get that additional control over DB instances. Irrespective of whether you need a relational database or a NoSQL offering, both AWS and Azure have strong database offerings.
CRITERIA 5: Content Delivery and Networking
Every cloud service provider proposes multiple networks and partners that connect the data centers across the globe through various products. Similarly, in AWS vs Azure, AWS provides Virtual Private Cloud (VPC) for users to create unique networks within the cloud-like create route tables, private IP address ranges, subnets, and network gateways.
Azure offers Virtual Network (VNET) for users to create unique and isolated networks. Both AWS and Azure provide firewall options and solutions to extend on-premises data centers into the cloud.
Time for VERDICT
Seeing all these criteria, the tug of war between the best tool gets tougher to decide upon. We have tried to explore the main aspects for coming to a decision on AWS vs Azure. The Companies that need high availability and resilience should contemplate multiple-data center hosting. Comparing Azure and AWS on the basis of pricing is extremely tough as both the giants continue to launch new pricing structures, products, and new integrations. Therefore, the verdict of AWS vs Azure lies in the favor of the company and the team, who can choose either of the equally good and convenient platforms, according to the needs and priorities.