Aster's Data-Analytic Server technology is a massively parallel platform that is optimized to store very large volumes of data and to perform in-database processing and analysis to deliver faster performance than traditional RDBM systems.
"If you look at each of the vendors that have been acquired, they had figured out ways to improve on what was being done by the established players," said David Menninger, an analyst with Ventana Research.
To compete, established vendors are being forced to either build or buy these technologies, he said. "Buying allows them to get into the market more quickly," Menninger said.
In Teradata's case, some of its existing technology overlaps with what Aster will bring to the table, Menninger said. Even so, Aster's expertise with unstructured data appears to have been "attractive enough to warrant making the purchase," he said.
Curt Monash, a principal at Monash Research, said the Aster deal will give Teradata "industry leading" technology for handling Big Data requirements. In the near term, he expects Teradata will continue to sell Aster's technology as a separate, standalone product line.
Teradata's acquisition further whittles down the number of pure play vendors left standing in the space in which Aster competes, Monash said. The few remaining independent companies that offer similar technologies include ParAccel, Infobright, Kognitio and SAND, a Canadian database analytics vendor.
Jaikumar Vijayan covers data security and privacy issues, financial services security and e-voting for Computerworld. Follow Jaikumar on Twitter at @jaivijayan or subscribe to Jaikumar's RSS feed. His email address is firstname.lastname@example.org.
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