Apache Ignite Blog

Apache Ignite 2.0: Redesigned Off-heap Memory, DDL and Machine Learning

May 5, 2017 by Denis Magda. Share in Facebook, Twitter

We released the long-awaited Apache Ignite version 2.0 on May 5. The community spent almost a year incorporating tremendous changes to the legacy Apache Ignite 1.x architecture. And all of that effort paid off. Our collective blood, sweat (and perhaps even a few tears) opened up new and exciting opportunities for the Apache Ignite project.

Have I piqued your interest about this new release yet? Let's walk through some of the main new features that have appeared under the hood of Apache Ignite 2.0.

Presenting Apache Ignite SQL Grid at Big Data Bootcamp

March 13, 2017 by Denis Magda. Share in Facebook, Twitter

Apache Ignite community welcomes you to attend Big Data Bootcamp on March 27th, 28th and 29th 2017 in Santa Clara, USA.

The conference gathers experts and vendors from Big Data realm in sunny California who will be covering a variety of Big Data products and technologies, including, but not limited to, Hadoop, Spark, NoSQL, Data Science, Machine Learning, Artificial Intelligence & Deep Learning.

Apache Ignite will be introduced at the conference by its PMC chair and committer - Denis Magda.

Apache Ignite 1.9 Released

March 7, 2017 by Denis Magda. Share in Facebook, Twitter

Apache Ignite community is pleased to announce Apache Ignite 1.9 - the next minor release of a well-known in-memory data fabric. The release, as usual, encompasses many bug fixes, performance improvements and fresh features. Below you can see a description of the most significant updates.

Kubernetes Support

Apache Ignite was integrated with Kubernetes which is a modern open source container cluster manager. The integration helps to simplify a deployment of an Apache Ignite cluster in environments managed by Kubernetes and let the latter care of resources management, cluster's scalability and lifecycle.