Data Platforms as a Service | @CloudExpo @Pythian #API #Azure #BigData

With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right provider and with the proper expectations. In his session at 18th Cloud Expo, Christo Kutrovsky, a Principal Consultant at Pythian, compared the NoSQL and SQL offerings from AWS, Microsoft Azure and Google Cloud, their similarities, differences and use cases for each one based on client projects.

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