Apache Ignite Blog

The power and beauty of in-memory computing projects are that they truly do what they state -- deliver outstanding performance improvements by moving data closer to the CPU, using RAM as a storage and spreading the data sets out across a cluster of machines relying on horizontal scalability.

However, there is an unspoken side of the story. No matter how fast a platform is, we do not want to lose the data and encounter cluster restarts or other outages. To guarantee this we need to somehow make data persistent on the disk.

Most in-memory computing projects address the persistence dilemma by giving a way to sync data back to a relational database (RDBMS). That sounds reasonable and undoubtedly works pretty well in practice, but if we dig deeper, you’ll likely encounter the following limitations:

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.

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 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.