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.
The ASF asks: Have you met Apache Ignite?
Blog, Sally Khudairi, Jan 18, 2017
Running Microservices on Top of In-Memory Data Grid: Part II
Blog, Denis Magda, Jan 18, 2017
Book: High performance in-memory computing with Apache Ignite has been published
Blog, Shamim Bhuiyan, Jan 09, 2017
Enabling Access to Apache Ignite via Redis Protocol
Blog, Roman Shtykh, Jan 09, 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.