Using Apache Ignite thin client – Apache Ignite insider blog

From the version 2.4.0, Apache Ignite introduced a new way to connect to the Ignite cluster, which allows communication with…

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Apache Ignite Baseline Topology by Examples

Ignite Baseline Topology or BLT represents a set of server nodes in the cluster that persists data on disk.  …

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Key differences between Apache Ignite, Hazelcast, Cassandra and Tarantool

Apache Ignite is widely used around the world and is growing all the time. Companies like Barclays, Misys, Sberbank (3r…

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Apache Ignite made easy: first Java application

In this article, we take a one step further and let you through the creation of the first Ignite application…

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Optimizing Spark Job Performance With Apache Ignite (Part 1)

Apache Ignite’s memory-centric architecture enables efficient RDD sharing with IgniteContext and IgniteRDD to share RDDs between Spark apps. Come see…

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The Apache Ignite Native persistence, a brief overview

In-memory approaches can achieve blazing speed by putting the working set of the data into the system memory. When all…

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Apache Ignite with Spring Data

Spring Data provides a unified and easy way to access the different kinds of persistence store, both relational database systems, and…

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Modern application design with In-memory data fabrics

In this article, author of the book “High Performance in-memory computing with Apache Ignite”, discussing the design of modern application…

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Complex event processing (CEP) with Apache Storm and Apache Ignite

In this article, author of the book “High Performance in-memory computing with Apache Ignite”, will discuss the complex event processing with…

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