As data pools continue multiplying, more and more organizations are moving their growing volumes of data out of disk-based storage systems and remote relational databases and into machine memory. As a result, data is living right where it’s used – in the core processing unit of the application, therefore resulting in higher performance and speedier access.

But there’s more to be said about in-memory data storage. Check out this resource to discover the top ten reasons to store more data in memory, including:

• Higher throughput: lower latency boosts processing capacity without adding computing power
• Accelerated analytics: faster access provides real-time insight for quicker decision making
• Ease-of-use for developers: no complex APIs, libraries or interfaces required
• And seven more!