Andy on Enterprise Software

Teradata Announcements

April 27, 2014

I recently attended a Teradata conference in Prague. In our regular Landscape research The Information Difference consistently find that Teradata has some of the happiest customers of any data warehouse vendor. In the last four years in a row their customers have been in the top two spots in our survey for overall highest satisfaction. Moreover, this is based on a large sample of customers. This hard survey data is backed up by anecdotal discussion at their events.

At the recent conference Teradata made three significant announcements. At present their architecture encompasses three technical platforms: the traditional relational, the analytical database they acquired via Aster, and Hadoop, where they have partnered with Hortonworks. Their approach is to layer their software around these platforms, allowing customers to deploy on whichever combination is most appropriate. The Teradata Querygrid allows a single SQL query to be orchestrated across systems without moving the data. Certainly as a concept this will be appealing to many customers.

It also announced the Active Enterprise Data Warehouse 6750 platform, aimed at the highest end use cases, claiming to be able to handle up to 61 petabytes of data. Certainly Teradata has dozens of customers in its “petabyte club”, so its on-going investment here will be welcome to those with the ultra-high volumes of data. The core database itself received an upgrade in the form of Teradata Database 15, which allows users to run analytical queries across multiple systems as well as run non-SQL languages within the database, and supports JSON (the low overhead alternative to XML) data. This last is aimed at the increasingly important area of sensor data and embedded processor data.

Overall, Teradata continues to be a major player at the high end of the data warehouse market. It has actively embraced newer technologies e.g. the multi-processing columnar approach of Aster, and more recently with Hadoop, going well beyond paying lip service to the newer analytic approaches. Customers with especially demanding workloads should certainly consider its capabilities.