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.
The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale.
New IMDG release strengthens data integrity, distributed performance, scale and ease of deployment.
Understand the differences between in-memory database and in-memory data grid.
Sign up for this webinar to learn all about the enhancements in IMDG 3.12
Discover why stream processing is the logical next step for in-memory processing projects.
Includes the full feature list for the Hazelcast IMDG® products.
How will your business adapt to the new reality?
Learn how Hazelcast Jet with in-memory streaming and fast batch processing improves performance.
New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record.
We measure success in microseconds.
Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability.
Hazelcast In-Memory solutions are complementary to databases and orders of magnitude faster. Time is money; give your new apps the microsecond response time they need to drive your business forward. Leave the data preservation to the database and leverage Hazelcast for data processing at digital speed.
In the digital era, users won’t wait. Whether it’s a complex e-commerce transaction or a machine learning-powered customer self-service portal, speed is everything. Hazelcast customers have actually leveraged our speed to create more time in their tiny processing windows to layer in more and deeper services, creating exceptional business value while delivering their industry’s best user experience.
With enough speed and scale there is more time to filter risks more thoroughly. Run more stringent fraud detection, review policy risks in real-time, run machine learning algorithms without compromising user experience. Hazelcast enables unthinkable applications.
Arguably the single most important part of your business. Get security wrong and everything else suffers. Hazelcast In-Memory solutions bring a whole new level of capability to security enablement, as proven by some of the world’s most demanding customer environments.
The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
Hazelcast In-Memory solutions can meet the growing demand for faster response time, greater integration, better fraud and risk management. They can also provide deeper insights from continuous streams of financial activity. Hazelcast allows you to unlock more value from transactional systems through faster integration to systems of record.
Hazelcast In-Memory solutions deliver unprecedented speed and stability in a world where billions of devices are streaming data continuously. Power machine learning and artificial intelligence (AI) applications at scale with no risk of downtime, leading to lower costs and increased customer satisfaction.
Government, whether at the federal, state or local level, requires speed, scalability, transparency, and efficiency. Hazelcast In-Memory solutions offer the depth and flexibility to cover the breadth of government applications, from in-theater intelligence to local voter registration.
Delivering e-commerce systems that provide competitive advantage is one of the toughest challenges facing retailers today. While speed and availability are table stakes in today’s online world, retailers must also make sense of the huge volumes of data generated by customers, which is where Hazelcast delivers an unfair advantage.
To be able to provide a dependable service to tens of thousands of concurrent players, gaming companies require a fast, elastic and easy-to-use system that brings the speed and stability associated with Hazelcast In-Memory solutions, while providing instant access to a reliable system of record.
Media consumers are more demanding than ever – asking not only for their own content on their own schedule, but content from all sources delivered as a stream with recommended content mixed in. Complex requirements driven by the need for immediate gratification make in-memory the perfect use case for media companies.
Hazelcast In-Memory Computing Platform provides a global, reliable and elastically scalable fabric that can deploy across a wide area to support commercial and military logistics including transport, container shipment, travel, supply chain, GIS, and many other use cases.
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.
