With data volumes spiraling out of control, companies are searching for less expensive and more efficient storage technologies. The most common approaches for storing data have been with disk and ...

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 ...

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 ...

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 ...

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 ...

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 ...

Take advantage of these 10 strategies to improve data access performance when using Entity Framework Core in your data-driven .NET applications. Entity Framework Core (EF Core) is an open source ORM ...

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 ...