Database vendors are responding to growing enterprise requirements for real-time access to stored data. The Terracotta database runs on top of a distributed in-memory data grid dubbed BigMemory, which ...

MemSQL has made available a distributed version of its in-memory database and real-time analytics platform, enabling organizations to perform real-time analytics at big data scale. Also included in ...

Thanks to the persistent store feature, Apache Ignite can also function as a distributed SQL in-memory database (IMDB).

As to the platform’s architecture, GridGain is JVM-based distributed middleware software. See the full white paper for key features, including in-memory data grid, in-memory database, in-memory ...

“GridGain 8.1 is a mature, next-generation in-memory computing platform that can be used cost-effectively as an in-memory data grid with existing RDBMS, NoSQL or Apache® Hadoop® databases, or it can ...

More databases and data stores and the applications that run atop them are moving to in-memory processing, and sometimes the memory capacity in a single ...

MemSQL, which specializes in real-time databases for transactions and analytics, has announced new geospatial capabilities for its in-memory, distributed SQL-based database. By bringing together ...

A Technical Fellow at Microsoft says we're headed for an in-memory database tipping point. What does this mean for Big Data?

MemSQL announced Sept. 18 that its distributed in-memory database, which competes with similar DBs from SAP, SAS, Teradata, Oracle, Birst and several others, has become the first to provide Java ...

Eric Frenkiel, CEO and Co-Founder of MemSQL, reached out to introduce himself and his company after reading a few of my recent comments on big data, distributed SQL database products, and memory ...