SnappyData Receives Funding Led by Pivotal to Speed Innovation

Led by Pivotal, GE Ventures, and GTD Capital, SnappyData  has secured $3.65 million in Series A funding that will help it grow and further its technologies.

SnappyData is a provider of an in-memory hybrid transactional analytics database built on Apache Spark. The $3.65 million will be invested in engineering and sales.

“We’re growing the engineering team and we are investing in sales,” said Sudhir Menon, COO and co-founder of SnappyData.  “We’re going to be using the money to further those efforts so we can build upon the differentiators in the approximate query processing space,” he said.

In addition to Menon, the SnappyData leadership team includes Richard Lamb and Jags Ramnarayanan. The three worked together during their time at Pivotal to build Pivotal GemFire, an in-memory data grid product.

As Spark gains traction in the big data space, SnappyData’s technology provides an alternative for customers who traditionally have used a combination of disparate products to handle their streaming, transactional, and analytical data needs.

The SnappyData open source platform empowers customers to stream, transact and analyze data, all in a single in-memory cluster. It achieves this via a unified engine for real-time operational analytics, wrapping stream analytics and the twin data-modeling technologies OLTP and OLAP into a single integrated cluster

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