Youth has its advantages. At less than four years old, Zoomdata, Inc., a visual analytics tool for Big Data, didn’t have to rebuild to accommodate cloud platforms and other newer technology. Its modern architecture, combined with the overall growth of the Big Data analytics industry, convinced Goldman Sachs’ Principal Strategic Investments Group to lead a $25 million investment in Zoomdata.

During Spark Summit East, Zoomdata founder and CEO Justin Langseth told Jeff Frick and George Gilbert, cohosts of theCUBE, from the SiliconANGLE Media team, that the company took Hadoop into account when it built the product.

Depending on Spark for the middle tier

“We knew Hadoop was going to be big,” he Langseth. “We also knew some data would stay in traditional storage, Amazon Redshift or other platforms. We built an engine that can push out queries and jobs but also bring it back into Spark. We depend on Spark for our middle tier, for anything that we can’t push down to a lower level. We even run a little embedded Spark in Zoomdata.”

The difference between Zoomdata’s middle tier and the middle tier of the client server era lies in the data crunching. “We leave that up to Spark,” Langseth said.

Watch the full video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of Spark Summit East 2016. And join in on the conversation by CrowdChatting with theCUBE hosts.

Photo by SiliconANGLE