Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.
Apache Ignite In-Memory Data Fabric is designed to deliver uncompromised performance for a wide set of in-memory computing use cases from high performance computing, to the industry most advanced data grid, highly available service grid, and streaming.
Apache Ignite 1.7: Welcome Non-Collocated Distributed Joins
Blog, Denis Magda, August 24, 2016
Using Apache Ignite.NET in LINQPad
Blog, Pavel Tupitsyn, August 19, 2016
What's New in Apache Ignite.NET 1.7
Blog, Pavel Tupitsyn, August 09, 2016
Apache Ignite 1.7.0 Released
August 05, 2016
Apache Ignite London Meetup
July 13, 2016
Apache Ignite NYC Meetup
June 28, 2016
Real-time In-memory OLTP and Analytics With Apache Ignite on AWS
Blog, Babu Elumalai, June 6, 2016
Distributed SQL Queries
Apache Ignite supports a very elegant query API with support for:
- Scan Queries (Predicate-based)
- SQL Queries (ANSI 99)
- Text Queries
This video demonstrates how to exectute distributed cache queries in Ignite using standard SQL syntax.
Getting Started with Data Grid
Apache Ignite In-Memory Data Grid is an implementation of
JCache (JSR 107) that supports:
- Basic Cache Operations
- ConcurrentMap APIs
- Pluggable Persistence
This video shows how to use basic cache operations and
Getting Started with Compute Grid
Apache Ignite has advanced compute and clustering capabilities including:
- Dynamic Sub-Clusters
- Clustered Lambda Execution
- Clustered ForkJoin Tasks
In this video we will broadcast and execute a "Hello World" closure on all the nodes in the cluster.
Ask a Question
If you have any questions about how to use Apache Ignite, please post them to the User Forum.