The world is waking to an open source environment where the benefits outweighs more than the drawbacks. In the older days, the closed environment of the Database Management Systems (DBMSs) offered limited choice for enterprises when choosing a database. The open source as an industry is now offering the use of open-source databases where you can customize your system as per your requirements and develop it to suit your needs.
Amazon Web Services is the cloud platform which allows you to handle the Big Data. Whether it is structured or unstructured data, AWS enables you to collect, store, process, analyze and visualize Big Data on the cloud. Irrespective of the three V’s (Volume, Velocity and Variety) of the Big Data, you can build any application and support any type of workload.
There are many Amazon Web Services that are available for Cloud users to manage and use their Big Data. The most widely used services are Amazon Elastic MapReduce (Amazon EMR), Amazon Kinesis, Amazon S3, Amazon Redshift, and Amazon DynamoDB.
Microsoft Azure has a new way for subscribers to use its SQL Database. The new subscription model offers three service tiers: Basic, Standard and Premium. They will slowly phase out the previous existing service tiers: Web and Business. The new tiers are planned to deliver more predictable performance, simplify billing and avoid costly workarounds.
Depending on the workload and their business requirements, subscribes can opt for any of the service tiers. You can have a single database with defined characteristics and pricing, or multiple databases. In both cases, Basic, Standard and Premium tiers are available.