MemSQL Unveils World’s Most Scalable Real-time Analytics Platform for Big Data
New distributed in-memory database challenges NoSQL vendors with full power of SQL-based RDBMS
SAN FRANCISCO, April 23, 2013 -- MemSQL announced today general availability of the distributed version of its eponymous in-memory database and real-time analytics platform, which enables organizations to perform real-time analytics at Big Data scale. Also included in the release is MemSQL Watch, a browser-based interface that provides insight into software status, hardware performance, and system configuration in a single view.
Many organizations have built piecemeal solutions attempting to attain the benefits of an in-memory database management system (DBMS). MemSQL's distributed release provides the combination of in-memory speed and a scalable relational DBMS out of the box. Companies can manage the velocity of Big Data transactions without sacrificing their ability to interact with and analyze that data via SQL – the most popular database language. Enterprises are already using distributed MemSQL in production for operational analytics, network security, real-time recommendations, and risk management.
Traditional data warehouses require expensive, time-consuming forklift upgrades to scale vertically as data volumes grow. MemSQL helps organizations future-proof their data warehouses by scaling horizontally on inexpensive commodity hardware without downtime. MemSQL’s unique combination of features makes it an easy choice for organizations that want to gain real-time insights from Big Data:
- In-memory architecture
- Ad hoc SQL-based analytics
- Horizontal scale-out on commodity hardware
- Enterprise-grade durability and high availability
“We are seeing increasing interest in distributed data processing technologies to provide a platform for operational intelligence,” said Matt Aslett, research director, data management and analytics, 451 Research. “With its in-memory database, MemSQL is well-positioned to enable organizations to analyze operational data in real time and attain operational insights faster.”
Customers have already deployed the new version of MemSQL across hundreds of nodes for sub-second responses on terabytes of data.
“We face a significant challenge in the amount of data that we need to analyze,” said Daniel McCaffrey, general manager for platform and analytics engineering, Zynga. “MemSQL’s in-memory clustering architecture allows us to gain fast insights from our Big Data at scale, which is critical to growing our business and increasing player value.”
MemSQL allows organizations to take full advantage of real-time data to make informed decisions, better engage customers, and identify competitive advantages.
“Our customers tell us that the database has traditionally been the bottleneck in their analytic workloads, because of the time it takes to get data into the database and the time it takes to return results. That’s simply not the case anymore,” said Eric Frenkiel, CEO, MemSQL. “With MemSQL’s distributed in-memory architecture, organizations instantly gain access to real-time SQL-based analytics, on any workload.”
Features and Benefits
MemSQL’s real-time analytics platform is built on the world's fastest, most scalable in-memory database, capable of simultaneously handling real-time transactions and analytic workloads. The distributed version offers:
Enhanced Ease of Use
- SQL – the most popular database language – can be used for both OLTP and OLAP workloads.
- MemSQL Watch is a browser-based interface that provides visual insights into software status, hardware performance, and system configuration in a single view.
Processing at Big Data Scale
- Horizontal scale-out on commodity hardware.
- Incremental scale-out to align costs with budgets and capacity with performance and volume requirements.
Three types of redundancy ensure data integrity – across nodes, on physical disk and across data centers.
Get Started With MemSQL
MemSQL and supporting documentation is available for download at www.memsql.com/download. If you are interested in an enterprise license including full support and services, please contact firstname.lastname@example.org or (855)4-MEMSQL (463-6775).
MemSQL is the leader in real-time Big Data analytics, empowering organizations to make datadriven decisions, better engage customers, and gain a competitive advantage. The in-memory distributed database at the heart of MemSQL’s real-time analytics platform is proven in production environments across hundreds of nodes in the most high-velocity Big Data environments in the world. Based in San Francisco, MemSQL is a Y Combinator company funded by prominent venture capitalists and angel investors, including First Round Capital and New Enterprise Associates.
Director of Communications