You've got a lot of data that won't fit easily into a database. Teradata
Yesterday, the company announced plans to acquire the 89% of Aster Data Systems it didn't already own for $263 million net of debt and other costs. The deal values Aster, whose algorithmic technology helps customers to cost effectively process massive amounts of unstructured data, at $295 million.
Management said in a press release that it expects the merger to close in the second quarter. Financing wasn't disclosed, but with $883 million in cash on Teradata's balance sheet, I suspect a cash deal is in order.
Either way, Teradata is picking up a key asset in Aster. The company's nCluster technology borrows from the open-source MapReduce clustering process that helped birth Google
For an analytics provider, this is a powerful approach. Clients get a system for digging into untold terabytes of data that would otherwise remain unprocessed but that could contain value. For example, comparing website access logs with purchasing data might reveal weaknesses in a product catalog.
Without MapReduce, accomplishing this task would be incredibly expensive. With it, the process becomes economical. Big processing jobs get broken into small chunks over a cluster of low-cost servers. The open-source Hadoop project and adherents such as privately held Cloudera have combined MapReduce with a flexible file system for storing and processing massive amounts of data.
Aster's contribution is to combine a massively parallel column-and-row database with analytics applications so that processing occurs where the data lives. Tough questions get answered fast and economically.
Whether the deal will help Teradata disrupt key data warehousing competitors IBM
Do you agree? Disagree? Let us know what you think about analytics, Aster Data's technology, and Teradata's competitive positioning using the comments box below. You can also rate Teradata in Motley Fool CAPS.
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