Teradata, Cloudera team up on Hadoop data warehousing

Teradata and Cloudera plan to collaborate on Hadoop-powered enterprise analytics and data warehousing projects.

Teradata and Cloudera on Wednesday announced plans to collaborate on Hadoop-powered enterprise analytics and data warehousing projects.

In a nutshell, Teradata customers will be able to use Cloudera's Hadoop distribution to analyze unstructured data collected from various sources. This information can then be funneled into a Teradata data warehouse.

The partnership is notable since Hadoop is viewed by companies as a way to work around data warehousing systems. Yahoo is a big champion of Hadoop as a way to handle large scale data analytics.

Teradata and Cloudera say that the partnership will make it easier to query large data pools to develop insights. Teradata is pitching a hybrid Hadoop-data warehousing approach. The company said:

Parallel processing frameworks, such as Hadoop, have a natural affinity to parallel data warehouses, such as the powerful Teradata analytical database engine. Although designed for very different types of data exploration, together the two approaches can be more valuable in mining massive amounts of data from a broad spectrum of sources. Companies deploying both parallel technologies are inventing new applications, discovering new opportunities, and can realize a competitive advantage, according to an expert in very large data solutions.

In other words, Hadoop and data warehousing isn't a zero sum game. The two techniques technologies will co-exist. Teradata will bundle a connector (the Teradata Hadoop Connector) to its systems with Cloudera Enterprise at no additional cost. Cloudera will provide support for the connector as part of its enterprise subscription. The two parties will also jointly market the connector.