Afaik Exadata wasn't even originally meant for OLTP. Seems like another case of a high-latency analytics/warehousing system being marketed as a "distributed database". They're now claiming that they can get OLTP grade performance with SSDs on Exadata, but I don't buy it. The promotion of Exadata is ironic, given I remember one of their engineers claiming (on his personal weblog) about impossibility of OLTP on top of shared nothing not too long ago.
As for the high-latency analytics databases (Vertica, Greenplum et al), I don't see much market for them either. Their big advantage over Hadoop was claimed to be the ability of non-programmer analysts to use them (via SQL), but Hive (which now even has JDBC drivers for it, allowing it to work with existing OLAP tools) solves that problem as well.
As for the high-latency analytics databases (Vertica, Greenplum et al), I don't see much market for them either. Their big advantage over Hadoop was claimed to be the ability of non-programmer analysts to use them (via SQL), but Hive (which now even has JDBC drivers for it, allowing it to work with existing OLAP tools) solves that problem as well.