However, many in-memory data grids require that all the data in the underlying disk-based database fit into memory, requiring a business to purchase enough memory to hold all the data.

When developing database-driven .NET and .NET Core, regardless of the database we intend to deploy in the end, we will often want to work with a database engine that is lightweight and fast, in ...

A further boost in performance can come when you also use an in-memory relational database management system. The fastest in-memory database can revolutionize data processing and analytics.

Since 2009, this platform has used the DRAM and flash-optimized in-memory NoSQL Aerospike database to read and write user cookies and context data on consumers’ online movements.

In-memory database technology has been key in this new line of business, said New Relic CEO Lew Cirne. In-memory databases are relational databases that run entirely within the working memory, or ...

Amazon Web Services on Thursday announced new High Memory EC2 instances designed to run large in-memory databases like SAP HANA. The instances currently deliver 6 TB, 9 TB, and 12 TB of memory ...

Bringing dedicated processor technology closer to memory and storage can result in significant improvements in the performance and scale of database applications. In the future what we can do with ...

In-memory database technology improves specific application performance notably. But challenges need to be met before in-memory database becomes the norm.

Infrastructure software to support real-time applications, such as securities trading, is now commercially available. The in-memory database (IMDB) is a key part of this infrastructure. Unlike the ...

Analytics platform provider ActiveViam has released a new product featuring a Python layer around ActivePivot, its in-memory database. Allen Whipple, co-founder and managing director at ActiveViam, ...