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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The Hazelcast IMDG® 3.12 release provides major new enhancements for Open Source users, it’s no exaggeration to say this is the biggest release we’ve ever made to the Open Source community. Hazelcast IMDG® 3.12 now provides a new level of consistency with the inclusion of our CP Subsystem based on the RAFT protocol. There is also support for JSON types within Hazelcast across all clients, Java, .Net, C++, NodeJS, Python and Go. Plus many more new features listed below.
Please join us in hearing from David Brimley, VP of Hazelcast® Product Management, as he takes us through the many improvements. David will provide an overview of the following new features:
David joins Hazelcast® with 25 years experience in the IT Industry. Over the past 16 years he has worked exclusively in the Investment Banking Sector within the City of London. He has served as Vice President of Equity Capital Markets at Credit Suisse, and later as a Freelance Senior Java Consultant for HSBC, Royal Bank of Scotland and Nomura. David has extensive knowledge of Distributed Caching products, having worked with Coherence, Gemfire and Hazelcast for the past 6 years. He began his career in 1988 as a Trainee Cobol Programmer for a national monthly book club.