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Teradata acquires assets of Hadapt, Revelytix for big data

Teradata has bought the assets of Revelytix and Hadapt in a bid to grow out its capabilities for the Hadoop big-data processing framework.  —  Revelytix developed Loom, a metadata management system compatible with a number …

PC World Chris Kanaracus

Context & Ripple Effects

Teradata had already used acquisitions to build out its marketing-data business, including its purchase of eCircle for marketing data after buying Aprimo. Its April 2014 QueryGrid launch also established a product direction: connecting the company’s data-warehouse core to big-data analytic workloads.

The Hadapt and Revelytix asset purchases extend that direction into Hadoop tooling. They arrive as vendors such as Datameer, which raised funding for Hadoop analytics, compete to make Hadoop usable for enterprise analysis rather than a stand-alone data environment.

First-order effects

  • Teradata gains Hadapt’s assets and Revelytix’s Loom metadata-management technology, expanding the components it can bring into its Hadoop and QueryGrid-oriented product effort.
  • Hadapt and Revelytix lose control of the acquired assets, while Teradata assumes responsibility for turning those technologies into products or integrations.

Second-order effects

  • Datameer and other Hadoop-analytics vendors face a larger Teradata offering for enterprises seeking to connect warehouse data with Hadoop workloads, increasing pressure to differentiate on analytics and ease of deployment.
  • Enterprise data teams evaluating Hadoop gain a route centered on Teradata’s existing warehouse stack, making metadata management and cross-system workflow more important selection criteria.

Third-order effects

  • If established warehouse vendors continue acquiring Hadoop-adjacent capabilities, enterprise analytics competition will shift from individual databases toward integrated stacks that manage data, metadata and queries across systems.
  • The purchases reinforce an acquisition-led market structure in which specialist big-data tooling becomes a source of complementary technology for larger enterprise-data suppliers.

The trend: Enterprise data vendors are using capability acquisitions to bridge traditional data warehouses with Hadoop-based analytics and governance tooling.