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



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5 Reasons to Upgrade to Hazelcast Enterprise

| Video
| 45 minutes

With Hazelcast Enterprise, you get additional reliability and security capabilities on top of the open-source edition that makes it easier to maintain a production deployment on Hazelcast. Join us as we cover the leading technology trends today, the five main reasons to use Hazelcast Enterprise, and customer examples.

Spring Boot: Hazelcast for Session Replication

| Video

Add session replication to your Spring Boot applications to easily load balance and failover across application instances.

How to Set Up Hazelcast on AWS ECS

| Video

Use containerized in-memory technology to accelerate cloud applications. This video shows how to set up Hazelcast in AWS ECS.

Caching with Spring Boot and Hazelcast

| Video

Adding a fast, scalable, distributed cache to your Spring Boot applications takes very little effort. Watch this video to see how.

Delivering on the Internet’s Promise for Global E-Commerce Reach

Case Study

Credorax is a next-generation smart payments provider and fully licensed acquiring bank providing cross-border processing.

Accelerating Mobile Apps with In-Memory Technologies

Case Study

Swedbank is a large banking group based in Stockholm that uses in-memory computing to speed up systems driving mobile apps.

Fraud Detection with In-Memory Machine Learning

White Paper

This paper discusses the role of machine learning in fraud detection, and why improved fraud detection models are required today.

Continuous Query with Drill Down – Trade Monitoring Demo

| Video

The business use case we'll use for this demonstration is a Trade Monitoring application for middle-office and back-office teams in a capital markets trading firm.

Trade Monitoring for Risk and Compliance Solution Brief

| 2 pages

Back office analysts at capital market trading firms can now get on-demand, near-real-time summaries of the day’s trades.

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