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 - Path to Converged Data Platform
Apache Big Data Europe
Dmitriy Setrakyan, Nov 15, 2016
Entity Framework As Ignite.NET Cache Store
Blog, Pavel Tupitsyn, Oct 27, 2016
Running Microservices on Top of In-Memory Data Grid: Part I
Blog, Denis Magda, Oct 26, 2016
Apache Ignite as a Backbone for Sports Betting Platforms
Ignite London Meetup, Oct 06, 2016
Ignite.NET Serialization Performance
Blog, Pavel Tupitsyn, Oct 04, 2016
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.