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 ...

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 ...

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 ...

Kinetica announced the newest release of its distributed, in-memory database accelerated by GPUs that simultaneously ingests, explores, and visualizes streaming data. Version 6.0 features advances in ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databases have always been able to do simple, clerical work like finding ...

In today’s digital economy, high-scale applications must perform flawlessly, even during peak demand periods. With modern caching strategies, organizations can deliver high-speed experiences at scale.