Choosing the Right In-Memory Computing Solution

White Papers > Big Data > Choosing the Right In-Memory Computing Solution
In-Memory Computing

As in-memory computing (IMC) gains momentum across a wide range of applications, from fintech and ecommerce to telecommunications and IoT, many companies are looking to IMC solutions to help them process and analyze large amounts of data in real time. However, the variety of IMC product categories and solutions can be confusing, making it difficult to determine which solution is best for a particular application.

Companies that need to process massive amounts of data in real time can benefit from a robust and affordable range of in-memory computing solutions. From the simple and limited performance boost of in-memory options for disk-based databases to the scalable and high-performing distributed architectures of in-memory databases, in-memory data grids (which integrate with existing databases), and in-memory computing platforms, there are applicable solutions for every use case.

This white paper reviews why in-memory computing makes sense for today’s fast-data and big-data applications. It dispels common myths about IMC and clarifies the distinctions among IMC product categories to make the process of choosing the right IMC solution for a specific use case much easier.

Download the new white paper from GridGain that offers a guide to in-memory computing, and find out if an in-memory solution is right for your business.


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