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 ...

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 new version of Sybase’s flagship database system software, released Wednesday, will be the first version that can be run entirely within working memory. Version 15.5 of the Sybase ASE (Adaptive ...

SAP seems to be betting its future on its HANA in-memory database, spotlighting the technology once again at the Sapphire conference in Orlando Wednesday, announcing a slew of new applications, ...

Oracle has released the first update to the TimesTen in-memory database it acquired a few months ago, and plans to promote the product to a broader audience of enterprise customers, it announced ...

The new version of Sybase's flagship database system software, released Wednesday, will be the first version that can be run entirely within working memory. Version 15.5 of the Sybase ASE (Adaptive ...

DataStax today announced DataStax Enterprise 4.0, the latest version of its always-on database platform based on Apache Cassandra. DataStax Enterprise 4.0 introduces a powerful new in-memory option ...

SAP is planning to work with partners to develop new hardware appliances that employ its in-memory database technology that could potentially serve as rivals to Oracle’s Exadata data-processing ...

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

Database systems are the backbone of contemporary data-driven applications, underpinning industries ranging from finance to scientific research. As data volumes surge and complexity increases, robust ...