Increasing Demand of Faster Data Processing Systems Across Various Industries Is Driving the in-memory Database Market. In-memory Database Market is estimated to reach $9.34 billion by 2027 with a ...

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 ...

Is in-memory the new black? It is increasingly becoming the must-have technology. As in-memory reaches a tipping point within enterprise data environments with many recent announcements for leading ...

Aerospike Inc., the company leading the power of real-time data to meet the demands of the “Right Now Economy,” is announcing the latest iteration of its real-time, multi-model database, Aerospike ...

Last week, application-performance monitoring service provider New Relic launched an offering that allows customers to mine its operational data for business intelligence. The new beta offering, ...

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 ...

SAP co-founder Hasso Plattner is set to revisit the topic of in-memory databases during a keynote address at the vendor’s upcoming Sapphire conference on May 19. The news was revealed this week in a ...

McObject’s eXtremeDB Fusion melds the strengths of the on-disk and all-in-memory methods of data management to allow developers to meet their specific application needs. Combining the strengths of the ...

Processing power, networking and memory/storage are key ingredients in every computing architecture and they are key factors in running any application. In this piece we want to talk about the impact ...

Businesses and organizations are increasingly challenged to handle the huge volumes of data, both internally generated and acquired from outside sources, that they need to process, store and analyze ...