Teradata Combines Aster Data with its San Diego Labs in $263M Deal
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pay $263 million for the rest of the startup. Aster Data has raised at least $53 million from investors since it was founded in mid-2005 (it still has $21 million on its balance sheet), and now has about 50 employees.
Some of Aster Data’s key investors also were early investors in Google. As TechCrunch reported in 2008, the distributed computing startup raised an angel round of about $1 million from David Cheriton, a Stanford University computer science professor (and Granite Systems co-founder), Josh Kopelman of First Round Capital, computer visionary Ron Conway, and Anand Rajaraman, founder of Junglee and Kosmix. Cheriton and Sequoia Capital, which took Aster’s entire A round in May, 2007, also were early investors in Google. Other investors are Institutional Venture Partners, Jafco Ventures, Cambrian Ventures, and Stanford computer science professor Rajeev Motwani.
Teradata’s Boyle tells me that while Teradata is a leader in relational data mining analytics that use massively parallel programming and petabyte-size databases, Aster Data specializes in SQL-based MapReduce programming—a hot, emerging field of non-relational parallelized data processing.
The non-relational analytics technology enables Aster Data to quickly gather data, such as Web logs and click streams, from clusters of servers that power a company’s Web-facing systems. Once stored in a database, the information can be analyzed to better understand customer behavior—for example, enabling such Aster Data customers as LinkedIn, Zynga, and Barnes & Noble to determine who the influencers are in a Web community.
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