At the Teradata Universe conference in Barcelona, Scott Gnau, Chief Development Officer told journalists that for the time being, Aster Data would be run as a wholly separate business unit. This news will be welcome to Aster Data’s customers who have been concerned that any takeover would have an impact on forthcoming roadmaps and product releases.
According to Gnau, the speed of the acquisition and the way that the takeover process operates has so far meant that Teradata and Aster Data engineers have not yet had a chance to sit down and compare roadmaps. As a result, the existing Aster Data roadmaps would be honoured with nCluster 4.6 just releasing to the market and nCluster 4.7 still on target for the end of 2011.
When asked when we would see any plug-in to allow Aster Data to take advantage of Teradata’s new Hot/Warm/Cold storage architecture, Gnau said that there are no announcements at present and this would also have to wait until the engineers for both companies have looked at each others products.
Despite this, Gnau was very upbeat about the acquisition and reiterated comments earlier in the day from Hermann Wimmer, President, EMEA region, that Aster Data and another Teradata acquisition, Aprimo, would both add significant value to Teradata in 2011.
Gnau told journalists that one of the big gains from the Aster Data acquisition is the ability to do Big Data which he also referred to as Analytics at Scale. This is because the Aster Data products address the more than 80% of data that lives outside of the traditional data infrastructure used by analytics vendors. This is also an area, according to Gnau, that is growing faster than traditional data.
In a separate set of discussions, Teradata sources would not comment on what plans, if any, there were to have an independent audit of both Aster Data and Teradata analytic function sets. Both companies have very complex sets of functions available to their customers and going forward there is a need for Teradata to prove that there are no inconsistencies between the two function sets.