Having to choose between Amazon Web Services (AWS) and Microsoft Azure is like asking someone to pick their favorite child. The debate over which cloud computing service is better will most likely go on until the end of time.
Amazon Web Services, which was implemented in 2002, is a subsidiary of Amazon. It offers web services to individuals and companies for data storage, content delivery and more.
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Microsoft Azure has evolved from marketing cloud-based solutions for clients with server products, such as the Azure Service Fabric , to developing products that can be operated using Microsoft’s own servers or those of other companies. Amazon has been leading the pack in some areas, while Microsoft leads Amazon in others. As you compare each platform head-to-head, it is important to consider the features and pricing of each in addition to any other factors you might see as important.
Here is a breakdown of six aspects that should be considered when choosing between Amazon Web Services vs Microsoft Azure.
Although it may vary by region, AWS Outage offers its services on a pay-as-you go model with no up-front costs or long-term commitments . As for Microsoft Azure, there are currently three forms of payment: Pay-As-You Go (pay only for what you use), Reserved Capacity (requires an upfront fee), and Subscription Plans (monthly payments). Pricing can initially seem lower through the first two avenues, but companies will need to determine whether this model better fits their business.
Amazon Web Services vs Microsoft Azure —
Industry focus Industries such as gaming, retail and health care rely on AWS to run their businesses. The company offers support for 100+ operating systems and applications. Industries such as manufacturing, defense and financial services rely on Microsoft Azure to run their businesses. The company offers support for 90+ operating systems and applications.
Security and access control Both Amazon SNS and Microsoft offer secure storage of your data , offering different methods of encryption based on the data you choose to store within their platforms. In addition, both allow IP address restriction, single sign-on (SSO) capabilities with SAML 2.0 or WS-Federation protocols as well as the use of Multi-Factor Authentication (MFA) . For further security, Microsoft offers a service called Azure Key Vault which provides the ability to store and control cryptographic keys with secure lifecycle management. Reliability Reliability is essential for any company looking to work in the cloud. AWS has been at this for quite some time, amassing data on just about everything that goes into operating their servers. With that experience, they have learned how to maximize availability of compute resources while providing affordable performance. All data within AWS is replicated across multiple facilities and stored on high-performance local disks attached to multiple servers in each facility. This redundancy also allows customers to scale capacity up or down as needed without downtime or loss of application state. Thus far, Microsoft Azure’s uptime is reported to be at 99.99%. Data within the platform are replicated across multiple fault domains, each modeled after an existing Azure data center. Across all fault domains, there are 9 copies for both customer-defined redundancy and system reliability purposes. To prevent loss of state or data due to server failure or disruption, Microsoft Azure replicates data multiple times.
Azure vs AWS Reliability —
Scalability Scalability is another one of those features that has become synonymous with cloud computing platforms. Many companies now rely on scalability as much as they do stability in order to build their businesses without having to worry about hardware limits slowing them down. With AWS, you can perform in-place server system upgrades to increase compute power. You can also expand by adding servers, disk space or memory. This allows you to adjust capacity in real time according to your business needs without downtime . For additional scalability, AWS has added support for clustering software that lets users group several Amazon EC2 instances together into a cluster configuration which is then run as one instance in order to perform batch processing (e.g., MapReduce) and distributed computations (e.g., Spark).
