SOURCE: MemSQL

MemSQL

June 11, 2014 09:00 ET

MemSQL to Showcase In-Memory Technology at Gigaom Structure 2014

MemSQL Demonstrates In-Memory Technology for Real-Time Big Data Analytics

SAN FRANCISCO, CA--(Marketwired - Jun 11, 2014) - MemSQL, the leader in real-time and historical Big Data analytics, today announced that the company will participate in the Gigaom Structure 2014 conference. MemSQL is an in-memory database that empowers organizations to make data-driven decisions in real time. Flexible deployment options enable organizations to house MemSQL clusters on premise, in the cloud, or in a virtualized environment. The company will demonstrate its in-memory distributed database and MemSQL Ops, a dashboard that provides real-time performance monitoring, capacity planning, and problem diagnosis of a cluster. In addition, the company will discuss how its in-memory distributed database enables developers to store and query JSON data along with structured data.

What: Gigaom Structure

When: June 18 - 19, 2014

Where: Mission Bay Conference Center, San Francisco, CA

The Gigaom Structure conference will feature cloud-based resources that are enabling IT teams to be more agile and deliver enterprises a faster time-to-market at a reduced cost. The conference brings together the innovators who are building infrastructure to run the applications of the next decade.

About MemSQL
MemSQL is the leader in real-time and historical Big Data analytics based on a distributed in-memory database. MemSQL is purpose-built for instant access to real-time and historical data and runs on commodity hardware. Innovative enterprises use MemSQL to accelerate time-to-value by extracting previously untapped value in their data to generate new revenue. MemSQL is proven in production environments across hundreds of nodes in high-velocity Big Data environments. Based in San Francisco, MemSQL is a Y Combinator company funded by prominent venture capitalists and angel investors including Accel Partners, Khosla Ventures, First Round Capital, and Data Collective. For more information, please visit www.memsql.com.