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Taneja Blog / Big Data / Data Center Systems

In Memory Big Data Heats Up With Apache Ignite

Recently we posted about GridGain contributing their core in-memory solution to the Apache Ignite project. While this is still incubating, it's clear that this was a good move for GridGrain, and a win for the big data/BI community in general. Today Apache Ignite drops its v1.0 release candidate with some new features added in like built-in support for jCache and an autoloader to help migrate data and schema in from existing SQL databases (e.g. Oracle, MySQL, Postgres, DB2, Microsoft SQL, etc.).

As memory prices drop and cluster nodes grow large memory banks, Apache Ignite is almost too good to be true as a free open source in-memory drop-in for Hadoop. Why not accelerate those sluggish MR based apps using memory resources you probably already have? There is no doubt that Spark is very hot too, but migrating existing apps to Spark can be a big project. 

Clearly folks looking for a performance boost should start by adding Ignite to their big data/BI ecosystem  as it's relatively quick and painless (and easy enough to back out). The new SQL autoloader feature in particular makes it really straightforward to migrate in data/schema from existing SQL databases, eliminating detailed preparation (and mistakes) and accelerating migration times.  We don't see any reason not to try it out!

When you do, let us know about your experience.

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  • Premiered: 02/19/15
  • Author: Mike Matchett
Topic(s): GridGain In Memory Big Data SQL


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