Relational database developer MariaDB is acquiring in-memory computing technology developer Gridgain to improve database performance for AI and agentic applications.

Database performance and scalability are both important aspects of managing and optimizing databases, but they refer to different characteristics and considerations. Database performance refers to how ...

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) ...

Altibase's HybridDB provides an in-memory and on-disk database managed in a single, unified engine. Altibase delivers the extreme processing power of RAM and storage capacity of physical disk in a ...

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and ...

Amazon MemoryDB for Redis stores entire datasets in-memory and can be used as a single, primary database, enabling customers to build high-performance applications with microservices without having to ...

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 ...

Where in-memory databases are used (spoiler: everywhere!). Suitability of in-memory databases for microcontrollers. Risks and mitigation of data loss. How an in-memory database is different than ...

The world is increasingly online, and online is increasingly real-time. This presents interesting performance challenges for databases, and Amazon MemoryDB for Redis is purpose-built to address them.

Oracle CEO Larry Ellison typically uses his annual OpenWorld conference keynotes to deliver the company’s biggest announcements and strategic positioning, and this year they will apparently involve an ...