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™: Transform batch-based system into swift real-time solution.
Apache Ignite London Meetup, Feb 23, 2017
Book Review: High Performance In-Memory Computing With Apache Ignite
Blog, Shamim Bhuiyan, Feb 16, 2017
The Apache® Ignite™ Web Console: Automating RDBMS Integration
Webinar, Denis Magda, Feb 15, 2017
Deploying Apache® Ignite™ – Top 7 FAQs
Webinar, Christos E. & Rachel P., Jan 25, 2017
Ignite nodes can automatically discover each other. You can scale the cluster when needed without restarting the whole cluster.
Streaming & CEP
Ignite streaming allows to process continuous never-ending streams of data in a scalable and fault-tolerant fashion.
Ignite writes objects to cache in a common binary format allowing applications to interoperate between Java, .Net, and C++.
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.