But there are three products, the Greenplum database (GPDB), HAWQ, and Aster
Data, that will be squeezed more quickly as they are positioned either in
between the EDW and Hadoop… or directly over Hadoop. In this post I’ll
explain what I suspect Pivotal and Teradata are trying to do… why I believe
their strategy will not work for long… and why readers of this blog should
be careful moving forward.
This is a very interesting analysis of the enterprise data warehouse market. There’s also a nice visualization of this prediction:
Here’s an alternative though. As showed in the picture above, the expansion of in-memory databases’ depends heavily on the evolution of the price of memory. It’s hard to argument against price predictions or Moore’s law. But accidents even if rare are still possible. Any significant change in the trend of memory costs, or other hardware market conditions (e.g. an unpredicted decrease of the price for SSDs), could give Teradata and Pivotal the extra time/conditions to break into advanced hybrid storage solutions that would offer slightly less fast but also less expensive products than their competitors’ in-memory databases.
Original title and link: Aster Data, HAWQ, GPDB and the First Hadoop Squeeze