The top two cloud vendors in the marketplace are AWS and Azure. Whilst AWS boasts of a bigger market share, Azure has a wide customer base among the top Fortune firms. Though AWS was the first to make an impression, Azure was quick to join the party. With cut-throat competition in the market between the two, with every little update, there is only little that differentiates these two major cloud service providers.
Analytics & Big Data depend heavily on computing power because of the voluminous data that requires to be analyzed. AWS offers EC2 instances for computer in addition to ancillary services including EC2 container and Elastic Beanstalk. Azure, on the other hand, computes mainly from its Virtual systems. Both provide scale-on-demand computing capacity, giving the infrastructure required to run & manage powerful Big Data &
Robust Network and Storage:
Network and Storage serves as the core for Big Data solutions, concerning which, both Azure and AWS back relational databases and are perfect with networking attributes. Both these platform give scalable storage features including Azure Blob Storage and S3, respectively to manage unstructured data and are almost equal.
Both platforms offer competitive pricing. AWS charges an upfront fee based on the usage or gives you a committed instance if you sign up for 3 years. Further, clients can go for extra bandwidth, if available. Azure comes with pay-as-you-go model with Microsoft billing its users by the minute. In case of no long-term commitment, Microsoft allows you to pay pre-paid as well as monthly billings.
Both AWS and Azure act as citadel against the vulnerability of leakage and data theft and protect sensitive data and safeguard hacking instances. Azure enjoys the patronage of 90% of Fortune 500 companies for Analytics & Big Data aspects. And as for Enterprise Security, Azure takes the cake.
Most organizations would want to access their business-critical data reports 24 x 7. Both Azure & AWS deliver excellent reporting and business intelligence tools with Power BI and QuickSight respectively. Microsoft’s Power BI scores higher as it can extract and collate data from 50+ resources, in addition to a huge library and data formatting features.
The biggest bottle-necks for processing voluminous data are cost and latency. Whilst Azure has ‘Event Hubs, the AWS has ‘Kinesis’, both showing up enough mileage for data analysis on a shoestring budget and in situations with lower latency
Leveraging Machine Learning:
Finally, a future-ready Enterprise banks on the power of predictive Data Analytics capabilities with Machine Learning from Cloud Partners. Appreciating the criticality, both the platforms have unveiled one-dimensional ML abilities on their respective Cloud Platforms.
Betting on the right horse:
AWS with 40 percent of market share in 2017 is the no.1 choice for larger corporations marked by growing infrastructure, scalability and price slash for upstarts, whereas Azure looks promising for organization that can invest sizeably in Microsoft for its non-Azure technologies. Making a choice between Azure and AWS is based on the need and structure of an enterprise. Talk to us if you are looking for a perfect partner in helping you choose the right cloud platform for all your development needs.