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 in-memory speed you count on, with the convenience and scalability of cloud.
Time is the new currency of business.
One truism about the world going digital is that business requirements and consumer expectations have changed. Immediacy matters – from e-commerce and fraud detection, to payment processing and financial trading.
The Hazelcast In-Memory Computing Platform is a continuous data processing distributed technology, uniquely designed to allow you to gain insight faster, enable actions within shorter durations, and engage new data at the speed with which it is arriving.
The Hazelcast 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 processing solution.
The world’s largest e-commerce sites rely on us for sub-millisecond response times to support massive volume spikes associated with Black Friday, Cyber Monday, or Singles’ Day.
The world’s largest banks rely on us to drive their fraud detection to new levels of performance, resulting in millions of dollars in fraud avoidance each year.
The Hazelcast distributed caching architecture allows you to scale up to hundreds of terabytes and scale out for maximum efficiency when dealing with remote data or edge processing.
Hazelcast has a global adoption footprint with millions of productive systems that are diversified and constantly growing. It directly benefits from a vibrant Open Source community.
Architecture
If you need instant response in dealing with high-volume, complex transactions in a distributed environment, Hazelcast is the optimal, proven in-memory computing architecture for your needs. With response times of microseconds, there is no faster technology upon which to build your competitive differentiation.
Sub-millisecond response times allow you to do things that would have been unthinkable just a few years ago. We power cloud-native, artificial intelligence and analytic applications for some of the most demanding environments in the world.
Elastically scale to hundreds of nodes with hundreds of terabytes each, then scale down as needed. Hazelcast offers internet scale and performance, while providing the elasticity to keep you at an optimal operating point for systems resources. Natively containerized and available in every major PaaS, there is no more efficient choice for powering your microservices and IoT architectures.
The Hazelcast In-Memory Computing Platform handles massive volumes of streaming data while providing microsecond response times to complex events. Always-on, always-processing with machine learning and microservices architectures enable a new generation of continuous intelligence applications.
Resources
The Hazelcast IMDG® 3.11 release has been a significant community-driven effort, with Hazelcast IMDG 3.11. We are ensuring all code will be functional, with the language features and ecosystem improvements introduced in Java 9, 10 and 11. Please join us in hearing from Jaromir Hamala, head of Hazelcast® Engineering, as he takes us through the many improvements included in the Hazelcast IMDG® 3.11 release that the community has been asking for.
Are you a developer, software engineer or architect looking to apply in-memory technologies to your current architecture? Are you looking to deliver ultra-fast response times, better performance, scalability and availability? Are you seeking new tools and techniques to manage and scale data and processing through an in-memory-first and caching-first architecture?
Enrichment is a frequent technical use case in stream processing. It is a translation of the traditional star schema into the low-latency continuous processing world: the stream of facts is enriched using slowly changing dimension data. In this webinar you will learn how to do high-performance stream enrichment. We’ll discuss multiple ways of enrichment, explaining the trade-offs. We will feature hands-on examples and live coding using Hazelcast Jet 0.7.
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.
