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) ...

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 ...

Large-scale digital transformation and omnichannel customer engagement applications require an unprecedented level of performance, including the ability to ingest and analyze data from multiple ...

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 ...

This article is the third in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of ...

MemSQL announced that its distributed in-memory database can now provide JSON analytics, to deliver a consolidated view of structured and semi-structured data, including standard enterprise and social ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

Following through on a promise to open-source its data analysis software, Pivotal has released the source code that powers its GemFire in-memory database. Opening up the code could give enterprise ...

As processor speeds increase, the need to reduce latency between the CPU and data becomes more pressing. The answer to that need has seen the rise of local flash storage and PCIe flash solutions. But ...