Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
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Get started today with the industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
When immediacy matters.
Overview
Financial data delivered in real-time. Online shopping at click-speed. Delivery times shown in an instant. Payment processing with non-stop fraud detection and approval in a snap. From start to finish, every experience happening at the speed of life.
Hazelcast helps you achieve it.
At Hazelcast, we imagine the impossible and make it a reality. Every single day. Because some of the most innovative, forward-thinking companies on the planet depend on us to accelerate their applications.
The Hazelcast In-Memory Computing Platform is powerful, easy to work with, and brings a highly resilient and elastic memory resource for both data at rest and data in motion. It is built to address a broad range of business needs, at high speed and internet scale.
49%
of consumers
have made purchases as a result of a personalized recommendation from a brand
Enable massive increases in the speed of service delivery.
Create new application services that turn data into valuable real-time experiences.
100-millisecond
delay in website load time
can hurt conversion rates by 7%
Achieve strong customer engagement and reduce churn with instantaneous transaction processing.
Capture new business opportunities as they unfold in real-time.
$24.26B
Gross fraud losses
to payment card issuers, merchants, and acquirers in 2017
Discover and remediate unplanned events as they occur.
Enable non-stop fraud detection to reduce business losses.
11.9%
One-day increase in web traffic
on Cyber Monday 2018
Better manage and measure business performance through instant data availability.
Maximize cloud investments with an in-memory computing resource that optimizes performance across public, private, hybrid and multi-cloud networks.
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Rahul Gupta will show how easy it is to add a fast, highly efficient stream-processing engine to a distributed in-memory cache. You will see how to analyze data already in-memory, to pull data from outside and to push results elsewhere.
Come join us for the "Introduction to In-Memory Data Grids" NightClazz with Hazelcast and Zenika, in Lille, France. Neil Stevenson, Senior Solution Architect, Hazelcast will be discussing "What is an in-memory data grid? Is it the same as a cache? What can I use it for?"
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
