Feature Comparisons vs. Other In-Memory Computing Solutions

The feature comparisons below compare the GridGain® in-memory computing platform with other in-memory computing solutions including Hazelcast, Oracle® Coherence, Pivotal GemFire®, Terracotta®, GigaSpaces®, DataSynapse and Redis®.

The GridGain in-memory computing platform, built on Apache® Ignite™, is available in three editions: the Community, Enterprise, and Ultimate Edition. GridGain delivers in-memory speed and massive scalability for data-intensive applications. The comprehensive in-memory computing platform includes an in-memory data grid, an in-memory database, streaming analytics, and a continuous learning framework that includes support for machine and deep learning.

In-Memory Computing Feature Comparisons

Each downloadable in-memory computing feature comparison provides a summary of the key differences between GridGain and the competitor plus a detailed feature-by-feature comparison.

This in-depth feature comparison shows how the most current versions of GridGain Professional Edition, Enterprise Edition, Ultimate Edition and Redis Enterprise (and their respective open source projects where relevant) compare in 25 categories.
This in-depth feature comparison shows how the most current versions of GridGain Professional Edition, Enterprise Edition, Ultimate Edition and Hazelcast (and their respective open source projects where relevant) compare in 25 different categories.
This in-depth feature comparison shows how the most current versions of GridGain Professional Edition, Enterprise Edition, Ultimate Edition and Oracle Coherence (and their respective open source projects where relevant) compare in 25 different categories.
Compares GridGain and GigaSpaces features in 22 key areas: in-memory data grid functionality, caching, data querying, transactions, security and more.
Compares GridGain and Pivotal GemFire features in 25 areas: in-memory data grid functionality, caching, data querying, transactions, security and more.
Compares GridGain and Terracotta features in 22 key areas: in-memory data grid functionality, caching, data querying, transactions, security and more.
This product comparison describes the advantages and benefits of migrating from DataSynapse to GridGain as an in-memory computing solution to power mission-critical and data-intensive applications.