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.
Pitfalls of the MyBatis Caches With Apache Ignite
Blog, Shamim Bhuiyan, Mar 9, 2016
Linking Apache Ignite and Apache Kafka for Highly Scalable and Reliable Data Processing
Blog, Roman Shtykh, Mar 3, 2016
Ignite Adds Add-ons
Feb 17, 2016
Apache Ignite Streamer based on Apache Camel
Blog, Raúl Kripalani, Jan 28, 2016
Apache Ignite 1.5.0.final Released
Jan 4, 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.