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 ...

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 ...

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 ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

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 ...

More databases and data stores and the applications that run atop them are moving to in-memory processing, and sometimes the memory capacity in a single big iron NUMA server isn’t enough and the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

No audio available for this content. MemSQL, which specializes in real-time databases for transactions and analytics, has announced new geospatial capabilities for its in-memory, distributed SQL-based ...