These guides demonstrate the operational flexibility and speed of the Hazelcast In-Memory Computing Platform. Set-up in seconds, data in microseconds. Operations and developer friendly.
Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:
Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:
As a next step, you will be able explore the code samples and extend your setup more features and connectors.
Hazelcast IMDG clients and programming language APIs allow you to extend the benefits of operational in-memory computing to applications in these languages. These clients and APIs (except Scala) are open source and supported by Hazelcast.
Click on an icon to be taken to that language page.
|
Client |
Version 3.4x – 3.5x |
Version 3.6x – 3.12x |
Version 4.0x |
|---|---|---|---|
|
Java Client |
Supported |
3.6.x - 3.12x |
4.0 - 4.0x |
|
.NET Client |
Supported |
3.6.x - 3.12x |
Late July 2020 Roadmap |
|
C++ Client |
Supported |
3.6.x - 3.12x |
Late August 2020 Roadmap |
|
Python Client |
Not supported |
3.6.x - 3.12x |
November 2020 Roadmap |
|
Node.js Client |
Not supported |
0.1.x - 0.9x |
July 2020 Roadmap |
|
Go Client |
Not supported |
0.1.x - 0.9x |
January 2021 Roadmap |
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