Oracle partners with Cloudera for their hadoop servers: https://www.oracle.com/engineered-systems/big-data-appliance/index.html https://www.oracle.com/engineere

Oracle partners with Cloudera for their hadoop servers: https://www.oracle.com/engineered-systems/big-data-appliance/index.html https://www.oracle.com/engineered-systems/big-data-appliance... Hadoop is not what the article is talking about though, nor is Cassandra. The issue is not about whether it scales out or not, it's about whether it is memory-based or disk-based. If queries have to pass through a block API at any point, they can never perform as well as a database where all queries run out of main memory, like Hana or VoltDB. On block-based systems you can't run some categories of analytical queries interactively, they always end up being too slow. He's saying oracle has a problem because they don't have a good in-memory story ready. Right now they're aiming at this problem from two directions: Oracle NoSQL (a distributed KV store comparable to Riak), and Oracle 12c In-Memory (in-memory engine bolted onto the oracle db). Neither are particularly convincing to me, and definitely not a match for Hana or VoltDB.