Deep Information Sciences Closes New Funding


Deep Information Sciences has closed $8 million in Series A funding. The round brings the total invested in Deep to $18 million. The funding will assist in the growth of the Deep Engine, which break downs the performance, speed and scale limitations of today’s databases to help businesses realize new insights and opportunities from big data.

 “We’ve created a completely new approach to scaling MySQL,” said Chad Jones, chief strategy officer at Deep Information Sciences. “We are able to look at the hardware and adapt the database to maximize the efficiency of using all of that hardware.”

After the launch of the Deep Engine in early April, the company received the $8 million in Series A funding led by Sigma Prime Ventures and Stage 1 Ventures, along with AlphaPrime Ventures.

This brings the total investment in the company to $18 million, according to Deep Information Sciences.

“That [initial] investment was 4 years ago at the company’s inception,” Jones said. “We took another $8 million so that we could go to market in a big way.”

Additionally, several investors signed on to back the company in its efforts to expand.

“Having them jump in with us is a really big statement on our technology,” Jones said. “Sigma Prime coming in is a big affirmation of our technology because one of their sweet spots is the investment in database technologies.”

The Deep Engine benefits service providers and enterprises, according to Jones.

“We’re able to increase the speed of a Drupal page load by five times,” Jones said. “We [also] help with analytics and data ingestion.”

Next year, Deep Information Sciences hopes to expand to help the NoSQL space.

“Our reach is expanding very quickly even though the MySQL, Maria and Percona markets are very big but what we got here is completely game changing,” Jones said. “It’s really this approach to how you take a database, take its architecture, and make something that’s not big data ready and really make it big data ready without sacrificing any of the features.”

For more information, go to www.deepis.com.

Image courtesy of Shutterstock.



Newsletters

Subscribe to Big Data Quarterly E-Edition