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 ...

However, databases alone and cloud-based services, like serverless functions, that access them were not designed to handle ...

In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. I’d like to delve into the differences between the two groups. While an In-Memory Database (IMDB) ...

Oracle Corp. announced today that its Globally Distributed Autonomous Database is generally available. Aimed at customers that have strict data sovereignty requirements, usually because of regulations ...

The adoption of in-memory computing continues to accelerate. Mature solutions enable organizations to obtain the database processing speed and scale they require for their digital transformation and ...

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

Database vendors continue to move computing and analytical processing closer to data as applications leverage more data types ranging from structured to those data sets that can be transformed to ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AWS is expanding the capabilities of its ...

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 big iron NUMA server isn’t enough and the ...

Krishnan Subramanian and I were chatting over Skype yesterday. Krishnan is a well-known analyst and blogger. He asked a question about a post I wrote this week that looked at ten startups in the flash ...