Hazelcast is the industry leading in-memory computing platform. Watch a Hazelcast quick-start demo and download a free 30-day trial of Hazelcast. Application performance at scale. Simplified.

Install Hazelcast Jet and form a cluster on your computer. Use Hazelcast IMDG to store your data in RAM, spread and replicate it across a cluster of machines, and perform data-local computation on it.

In computing, Hazelcast IMDG is an open source in-memory data grid based on Java. It is also the name of the company developing the product.

Contribute to hazelcast/hazelcast development by creating an account on GitHub.

Hazelcast, San Mateo, California. 2,130 likes · 1 talking about this · 4 were here. We power Global 2000 enterprises with our leading in-memory data grid...

If you have a few years of experience in the Java ecosystem, and you're interested in sharing that experience with the community (and getting paid for your work of course)...

Последние твиты от Hazelcast (@hazelcast). We power Global 2000 enterprises with our leading in-memory data grid and event stream processing engine. San Mateo, CA.

The hazelcast- component allows you to work with the Hazelcast distributed data grid / cache. The main reason to use Hazelcast is its simple cluster support.

I want to use Hazelcast in one of my projects (proprietary, commercial product). I'm having troubles with understanding Hazelcast license and pricing model. Which parts of it a can use free of charge?

It should also mention any large subjects within hazelcast, and link out to the related topics. Since the Documentation for hazelcast is new, you may need to create initial versions of those related topics.

Hazelcast Java Example, In Memory data grid, Hazelcast, In Memory Distributed Cache, In Memory Database.

Hazelcast is an open source In-Memory Data Grid. In this article, we will see how to get started with hazelcast. We will use the default hazaelcast configuration...

Hazelcast is a radical, new approach towards data that was designed from the ground up around distribution. Hazelcast is a distributed, highly available and scalable.

Hazelcast. Quite the same Wikipedia. Just better. Hazelcast. From Wikipedia, the free encyclopedia.

Hazelcast Node.js Client. Hazelcast is an open-source distributed in-memory data store and Hazelcast Node.js client is a way to communicate to Hazelcast IMDG clusters and access the cluster...

The Hazelcast press release goes something like this: "Hazelcast (www.hazelcast.com) is Okay, so that's just marketing/PR bumpf. What is Hazelcast… in real life? The answer can be succinctly given...

$ docker run hazelcast/hazelcast:$HAZELCAST_VERSION. For the simplest end-to-end scenario, you can create a Hazelcast cluster with two Docker containers and access it from the client application.

Hazelcast Cloud Guide. Version Support Windows. Hazelcast GDPR Policy. How-To Guide for Upgrading Hazelcast IMDG. Client and server version compatibility.

Hazelcast is a clustering and highly scalable data distribution platform for Java. It is an distributed/partitioned implementation of java.util.{Queue,Map,Set...

GitHub Project Work at Hazelcast License.

Hazelcast is an In-Memory Computing Platform is comprised of Hazelcast IMDG, the most widely deployed in-memory data grid, and Hazelcast Jet, the industry's most advanced in-memory stream...

In modern user facing and real-time applications, performance is the top concern with usually having data at its core. What if you were able to offload some work from the database and at the same time...

Hazelcast 3.8-SNAPSHOT Reference Manual. hazelcast/hazelcast-code-samples. Hazelcast is abstracting the user from their algorithms, so unfortunately I can't tell you how they actually implement...

Spring Session Hazelcast provides SessionRepository implementation backed by Hazelcast and Adding Spring Session Hazelcast to your build. This project uses a Maven BOM (Bill of Materials) and...

Hazelcast Version 3.6 Features Performance Improvements and Cloud Management. Java In-Memory Data Grid Hazelcast 3.0 Supports Continuous Queries and Entry Processing.