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 ...

Oracle Corp. announced today that its Globally Distributed Autonomous Database is generally available. Aimed at customers that have strict data sovereignty requirements, usually because of regulations ...

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 ...

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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 ...

Version 6.1 of the distributed in-memory data store allows organizations to replicate data across different geographic locations Red Hat has revised its JBoss Data Grid software package, which now ...

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.

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 ...

GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, today announced GridGain 8.1. The solution expands the bounds of in-memory computing ...

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 ...

Ultimately, every problem in the constantly evolving IT software stack becomes a database problem, which is why there are 418 different databases and datastores in the DB Engines rankings and there ...