Get Started

Get Started

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.

Hazelcast IMDG

Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:

  • Create a Cluster of 3 Members.
  • Start the Hazelcast Management Center.
  • Add data to the cluster using a sample client in the language of your choice.
  • Add and remove some cluster members to demonstrate the automatic rebalancing of data and back-ups.

Hazelcast Jet

Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:

  • Start a Hazelcast Jet cluster in your JVM.
  • Build the Word Count application.
  • Execute the application wit Jet.
  • Push testing data to the cluster and explore results

As a next step, you will be able explore the code samples and extend your setup more features and connectors.

Stream Processing: Instant Insight Into Data As It Flows


Streams of data are all around us, and enterprises need to process that data instantly—or as close to real time as possible. That’s where stream processing technologies can help. Stream processing lets you sense, query, analyze, and process data as it flows.

Read this e-book from RTInsights to get a good overview of how stream processing can benefit your business. Topics include:

  • The advantages of having a streaming data architecture in your enterprise
  • Popular use cases driven by streaming data
  • Important technology capabilities for stream processing
  • What to plan for in your stream processing implementations
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