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 ...

Zero-copy and in-memory data manager Vineyard (v6d) is maintained as a CNCF sandbox project and provides distributed operators that can be utilized to share immutable data within or across cluster ...

Software AG is releasing Terracotta DB, a distributed, in-memory database platform that delivers high-speed performance for combined operational and analytical processing. Terracotta DB can work with ...

AWS has launched new features for DynamoDB, Aurora and MemoryDB cloud databases to help scale distributed workloads and lower costs.

However, many in-memory data grids require that all the data in the underlying disk-based database fit into memory, requiring a business to purchase enough memory to hold all the data.

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 ...

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 ...

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

BANGALORE, INDIA: In-memory database systems (IMDSs) store records in main memory, they never go to disk. Through this elimination of disk access, IMDSs claim significant performance gains over ...

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