When data grows into the tens or even hundreds of terabytes, you need a special technology to quickly make sense of it all. From Hadoop to Teradata, check out the top platform options.
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Teradata Moves From EDWs To Analytic Family Once purist preachers of the enterprise data warehouse (EDW) approach, Teradata has loosened up in recent years and come out with an extended family of offerings built around the Teradata database. The company's high-performance and high-capacity products have been widely copied, as have many of the company's workload management features, including virtualized OLAP (cube-style) analysis.
Teradata has been pushing the envelope on in-database analytics, but it did not have a footing in blended analysis of structured data, semi-structured data, and largely unstructured data. That's why it bought Aster Data, which offers a SQL-MapReduce framework. MapReduce processing is in big demand because it's useful in crunching massive quantities of Internet clickstream data, sensor data, and social-media content.
Teradata recently announced plans for an Aster Data MapReduce appliance to be built on the same hardware as the Teradata appliance. It also added two-way integration between the Teradata and Aster Data databases. By buying AsterData, Teradata has broadened what is widely regarded as the broadest, deepest, and most scalable family of products available in the data warehousing industry.
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