Get Started

Get Started

These guides demonstrate how to get started quickly with Hazelcast IMDG and Hazelcast Jet.

Hazelcast IMDG

Learn how to store and retrieve data from a distributed key-value store using Hazelcast IMDG. In this guide you’ll learn how to:

  • Create a cluster of 3 members.
  • Start 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 data balancing capabilities of Hazelcast

Hazelcast Jet

Learn how to build a distributed data processing pipeline in Java using Hazelcast Jet. In this guide you’ll learn how to:

  • Install Hazelcast Jet and form a cluster on your computer
  • Build a simple pipeline that receives a stream of data, does some calculations and outputs some results
  • Submit the pipeline as a job to the cluster and observe the results
  • Scale the cluster up and down while the job is still running

About the Author

Marko Topolnik

Marko Topolnik

Senior Software Engineer, Hazelcast

Marko Topolnik, PhD, has been a Java professional since 2001. His current position is in the core team of Hazelcast Jet, where he co-wrote the core execution engine based on coroutine-like suspendable code that runs many concurrent tasks on a fixed thread pool. Marko is also an active contributor on Stack Overflow on the kotlin-coroutines tag.

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Hazelcast Jet 4.3 is Released!

Marko Topolnik
by Marko Topolnik

Today we’re releasing Hazelcast Jet 4.3, our fourth release of 2020! We took part in Google Summer of Code that ended just a few weeks ago, and this release already brings a production-ready piece of work by our student, Mohamed Mandouh: distributed in-memory sorting. Mohamed’s primary focus was research into the feasibility of integrating RocksDB […]

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