Re: Is the dividing line between NoSQL & Hadoop Use Cases That Clear?
I'd say it speaks more to the duplicate functional tech needs that exist in both the operational database and data warehouse worlds. For operational databases like Cassandra (and legacy RDBMS's like SQL Server, etc.), there will always be the need to analyze and search that data in the context of the online apps they serve, which is why we enable that in our platform. The same needs for analysis and search also exist in the data warehouse/lake worlds that Hadoop is now playing in. However, the use cases and apps that an operational DB and data warehouse/lake serve are still quite different, which is why the divide between the two still exists now in the NoSQL market just as it does in the traditional RDBMS world. In other words, in the same way an RDBMS guru doesn't use Teradata for online/transactional apps, none of our customers use our platform for a Hadoop data warehouse system.