The latest release of Hazelcast is out and it has key improvements you won’t want to miss. Learn what is new in Hazelcast IMDG 3.9 in this informative webinar presented by Christoph Engelbert, Hazelcast Developer Relations.
Learn how Irish Revenue updated their IT architecture to handle nationwide online reporting of a new property tax.
This paper is intended for software architects and developers who are planning a Eureka Server and Hazelcast IMDG deployment and want to understand how to set this up.
This webinar will give a quick but fun 10 step guide of the requirements for when you are going into production with Hazelcast IMDG—what are the most common pitfalls for handover between developers and operations, as well as how to solve those issues first hand.
Hazelcast IMDG Integrates with Apache Cassandra to Deliver Fast, Scalable IoT Data Platform for Future Grid
Learn how Future Grid is revolutionizing the electrical industry. By turning to Hazelcast IMDG for thier in-memory infrastucture, Future Grid is solving some of the most difficult data processing problems of a hyper-connected world, while saving thier customers tens of millions of dollars in the process.
Whether you are an existing or new Hazelcast user, join us for our latest webinar as we demonstrate how you can remove the risk of cache management while increasing application performance. Heimdall Data intelligently auto-caches into Hazelcast IMDG without code changes.
Join Hazelcast Core Team Lead, Tom Bujok, in a deep dive overview of the Hazelcast IMDG feature Rolling Upgrades to learn how you can keep your system running continuously while upgrading IMDG servers and clients.
Compare Jet 0.4 vs Flink 1.2.0 & Spark 2.1.1 in this Benchmark.
In this Video Case Study, learn how Irish Revenue updated their IT architecture to handle nationwide online reporting of a new property tax.
This paper is intended for software architects and developers who are planning a Eureka Server and Hazelcast IMDG deployment and want to understand how to set this up.
Compare Jet 0.4 vs Flink & Spark in this Benchmark.
This case study presents a comparison of alternative data stores and approaches, showing how a global bank, ranked in the top ten by assets, has turned to Hazelcast to improve experience for customers across all of its digital platforms (web, mobile, branch).
This case study presents a comparison of alternative data stores and approaches, showing how a top ten US bank uses Hazelcast IMDG to scale their Fraud Detection algorithms against customer data sitting on its old relational database platform.
Hazelcast has enabled the global pizza delivery chain to make optimal usage of its resources and has allowed developers to think in terms of well-known data structures such as Maps,Queues etc…
Learn about the inventory management requirements of leading retailers who straddle brick and mortar as well as e-commerce sites and how in-memory computing is enabling omni-channel inventory management.
This case study presents a comparison of alternative data stores and approaches, showing how the UK’s largest IoT network is using Hazelcast IMDG to meet the operating requirements of their IoT architecture.
Learn about the requirements of moving from legacy mainframe systems to multi-channel customer self-service systems and the role that in-memory technology plays in that transition.
This case study presents a comparison of alternative data stores and approaches, showing how a national tax authority uses Hazelcast IMDG to assist with their public service.
This case study presents a comparison of alternative data stores and approaches, showing how a leading national bank used Hazelcast IMDG to do a complete overhaul of their risk system.
Learn about the requirements of how businesses provide accurate and timely risk reporting to regulatory agencies from a disparate set of systems, from legacy to cloud-based, using in-memory computing technology.
This case study presents a comparison of alternative data stores and approaches, showing how a global top ten retail bank is using Hazelcast IMDG to enable customer banking transactions across its multi-channel estate.
This case study presents a comparison of alternative data stores and approaches, showing how a major London investment bank is using Hazelcast IMDG as an all-in-one technology for building the system.
This case study presents a comparison of alternative data stores and approaches, showing how one top US media company is using Hazelcast IMDG.
This case study presents a comparison of alternative data stores and approaches, showing how one top global e-commerce retailer with $18.3 billion in sales grows their business using Hazelcast IMDG.
Download this case study to learn more about Hazelcast IMDG for the Insurance Industry. Includes featured customers.
Hazelcast is an in-memory technology for scaling your e-commerce and inventory management systems to handle burst behavior from events such as on Black Friday and Cyber Monday.
In this presentation you will learn how to leverage Hazelcast IMDG, the leading open source, distributed, elastic, in-memory platform, as a cache for your Node.js applications.
This is a comparison between a Redis 3.2.8 cluster and a Hazelcast IMDG 3.8 cluster.
Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.
Learn how IoT applications can benefit by combining Apache Kafka and Hazelcast IMDG.
Get up and running with the Hazelcast IMDG Node.js Client quickly with this easy to use reference card.
Compare Jet 0.3 vs Flink & Spark in this Benchmark.
Compare Jet vs java.util.stream in this Benchmark.
Compare performance of Memcached 1.4.33 vs Hazelcast IMDG 3.7.5
Learn about in-memory distributed processing for big data with Hazelcast Jet.
The latest release of Hazelcast is out and it’s better than ever. Learn what is new in Hazelcast IMDG 3.8 in this informative webinar presented by Christoph Engelbert, Hazelcast Developer Relations.
Roundtable webinar with Aerospike, Attunity and Hazelcast
This whitepaper provides a point by point comparison of Hazelcast IMDG and TIBCO ActiveSpaces.
Stories about Starting Out with Hazelcast IMDG: Three Hazelcast IMDG users document about their experience with data caching. Includes some architecture diagrams and code examples.
Hazelcast Jet is a distributed computing platform for fast processing of big data sets.
Solace and Hazelcast: Going Global with In-Memory Data
Hazelcast is now available as a Tile on Pivotal Cloud Foundry (PCF). In this webinar, Rahul Gupta, Senior Solution Architect, will take you through a demonstration of what this is and a demo of how it works.
In this white paper we introduce the new Apache Spark connector for Hazelcast IMDG.
This webinar shows how to use the Hazelcast WAN replication feature that comes with Hazelcast Enterprise and Hazelcast Enterprise HD.
Join us for this webinar on Hazelcast Striim Hot Cache, where we’ll show you how to keep your cache hot with real-time, push-based synchronization. Live Q&A after the webinar.
The Hazelcast IMDG Striim Hot Cache solution enables real-time, push-based propagations to the cache. Download the Datasheet to learn how Hazelcast IMDG Striim Hot Cache can benefit your organization.
Hazelcast with Azul Zing benchmarks done with Hotspot and Radargun
Learn the powerful benefits of combining Solace and Hazelcast IMDG for WAN Replication.
In the webinar: Learn how to maintain your cache/database consistency with XA transactions
In this webinar, we’ll cover: What Spring Data is and the benefits it brings; The advantages of using Hazelcast with Spring Data compared to traditional databases; Basics of the coding, querying and general capabilities; Demo of a full example, available to download after.
In this webinar we’ll cover: common issues with big heaps in Java, Garbage Collectors in common JVMs, and how High-Density Memory Store can keep your latencies under control.
Learn how the UK’s largest Internet of Things network, British Gas, uses Hazelcast in-memory data grid to serve over 200,000 homes with a system that allows users to remotely control their heating and hot water temperature from their mobile device or on the Web.
Join us for a quick deep dive into what is new in Hazelcast 3.7. You’ll get an overview of new 3.7 features for both Hazelcast Open Source and Hazelcast Enterprise.
In this webinar, learn about Hazelcast’s extensible, JAAS based security feature.
This paper is intended for software architects who are planning a Microservices deployment and want to understand all the critical infrastructure requirements.
Learn how Hazelcast Hot Restart Store can keep your caches hot across application restarts.
Most Powerful Java Runtime Meets Fastest In-memory Data Grid for Demanding Enterprise Workloads | Azul Systems & Hazelcast
Join this webinar to learn how the combination of Hazelcast plus Azul System’s Zing Java Virtual Machine (JVM) delivers compelling benefits to the enterprise.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Redis across a number of dimensions.
Delivered in partnership with GameDuell, this technical talk by Greg Luck provides an in depth introduction to caching, with a particular focus on JCache and Hazelcast.
Introducing Speedment SQL Reflector — a plugin for Hazelcast Maps that allows applications to automatically data in real time.
“Caching Made Bootiful: The Hazelcast Way,” a code-driven webinar, demonstrates how to integrate Hazelcast Distributed Caches into your Spring (Boot) applications using Spring’s Cache Abstraction and Auto Configuration features.
This is a comparison between a 4 server Redis 3.0.7 cluster and a 4 server Hazelcast 3.6 cluster, prepared using the standard caching benchmarking tool, RadarGun.
Compare GridGain/Apache Ignite 1.5.0 vs Hazelcast 3.6 Benchmark. This benchmark was prepared using GridGain’s own benchmarking tool, Yardstick.
Explores the building blocks of JCache and other caching APIs, as well as multiple strategies for implementing temporary data storage in your application.
Join us for our latest webinar as we demonstrate how Heimdall can be used to “Hazelcast-enable” any existing application without changing its code.
Hazelcast and Heimdall Data join forces to deliver a joint solution that offers a transparent, easy to manage, and reliable in-memory storage solution. Download the solution brief to learn more.
This benchmark tests the write and read performance of the Hot Restart Store, introduced in Hazelcast Enterprise HD 3.6. All benchmarks test the performance of one Hazelcast member running on a physical server. As the Hot Restart Store is local to each member, performance is linearly scalable.
Compare Hazelcast 3.6-RC1 with Gemfire 8.2.0. Testing framework: RadarGun 2.1.0.Final in the Hazelcast Lab
Looking to migrate off Terracotta BigMemory/Ehcache and onto Hazelcast IMDG? Download our step-by-step migration guide to help you make the move.
Hazelcast IMDG Financial Use Cases is intended to give systems engineers and architects in the financial industry an idea of the types of application use cases Hazelcast IMDG is solving in production today.
Hazelcast IMDG helps Ellie Mae achieve horizontal scale while continuing to deliver on service level agreements (SLA). Download the case study.
Interested in comparing Hazelcast with Coherence? Hazelcast provides a benchmark suite on speed and performance. Just complete the form on the right and we’ll reach out to you soon.
Compare Hazelcast 3.6-SNAPSHOT and Red Hat Infinispan 7.2 side by side. This benchmark was prepared using Radar-Gun’s own benchmarking framework.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Apache Ignite/GridGain across a number of dimensions.
Compare Hazelcast 3.6-EA with GridGain 7.4 / Apache Ignite 1.4.1. This benchmark was prepared using GridGain’s own benchmarking tool, Yardstick.
Hypercast, the combined solution from Hazelcast IMDG and C24 resolves the compromise between balancing query speed or data capacity: now you can have both.
In this webinar we’ll introduce you to the Hazelcast Web Session Replication module. This module makes replicating and distributing data easier than ever.
How to Achieve Developer-friendly, Resilient Workflow Automation with Camunda and Hazelcast.
Hazelcast on Azure: Best Practices for Deployment highlights best practices for cloud architects and developers gearing up Hazelcast applications to a virtual cloud environment.
The guide takes a step by step approach, covering all of the main features of Oracle Coherence and then introduces the developer to their equivalent in Hazelcast. Each chapter provides code samples in Oracle Coherence and in Hazelcast.
Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ.
This document aims to describe different strategies for application caching strategies. It will explain the advantages and disadvantages, and when to apply the appropriate strategy.
Read more about how High-Density Store can be used as an in-memory computing solution, specifically within a deployment larger than 4GB.
Since version 3.4, Hazelcast engineers have invested months of effort to make broad-based, across-the-board performance enhancements. As a result, the Hazelcast 3.5 release enjoys a wide array of significant performance improvements over the 3.4 version.
This guide will provide an introduction to the most important aspects of deploying and operating a successful Hazelcast IMDG installation. Updated for Hazelcast IMDG 3.8.
This white paper provides an introduction for architects and developers to Hazelcast’s distributed computing technology.
A deeper look at key points and architecture of Hazelcast IMDG High-Density Memory Store.
This webinar will start with a simple JAX-RS/JPA application. We will turn this standard Java EE application, step by step, into a fully clustered application using a CDI extension and producers to integrate Hazelcast, as a JCache provider.
Payara 4.1.151 was released at the end of January and one of the new enhancements is Hazelcast session persistence. Technical Director and Founder of Payara, Steve Millidge teamed up with Hazelcast to demonstrate the new feature in action.
Join Christoph Engelbert (Hazelcast) and Matti Tahvonen (Vaadin) for an introduction to Big Data and Map Reduce.
In this talk we will demonstrate how to use the C# and C++ Clients to connect to a running Hazelcast Cluster.
This webinar gives you an overview of SunGard’s main use cases and how Hazelcast helped them to deliver award-winning risk systems to some of the biggest financial institutions in the world.
In this webinar we will compare the complexities involved with using Terracotta BigMemory with the code/configuration changes one has to make to migrate to Hazelcast.
This whitepaper provides a point by point comparison of Hazelcast IMDG and IBM eXtremeScale.
Get up and running in Hazelcast quickly by attending this webinar given by the author of “The Beginner’s Guide to Hazelcast” blog series.
Learn how Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions
This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly based on next generation computing paradigms.
Includes the full feature list for Hazelcast Enterprise and comparison to Hazelcast Open Source.
Ben Cotton imparts his knowledge on juicing shared memory performance. In this webinar you’ll learn the importance of Advanced Data Locality and Data IPC Transports wrt to Java distributed cache data grids.
This tutorial will provide step-by-step guidance on how to maximize your Hazelcast performance with serialization.
This online retailer is bigger than Staples, Walmart.com and Dell and is admired throughout the world for its high performance and top-notch brand and user experience.
Learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance.
Part #4 of a four-part training webinar series.
Part #3 of a four-part training webinar series.
Part #2 of a four-part training webinar series.
Part #1 of a four-part training webinar series.
Learn about HazelcastMQ in this webinar.
Hazelcast founder will provide an introduction to Hazelcast including a demo and an overview of the Hazelcast Architecture.
Learn about the pros and cons of the various performance optimizations available for Hazelcast
This whitepaper will guide you through the creation of a rock solid business case for Hazelcast, with a focus on Reducing Cost, Improving Flexibility and Adding New Capabilities to your organization.
Learn about using MapReduce with Hazelcast in this webinar.
This webinar will provide a hands-on demonstration of how to maximize your Hazelcast performance with serialization.
This Recorded Webinar provides a hands-on demonstration of how to implement Hazelcast with your existing database. Code examples included.
Learn about Hazelcast for the Telecommunications Industry
This whitepaper provides a point by point comparison of Hazelcast IMDG and Infinispan/JBoss Data Grid.
Learn about the important features of Hazelcast while getting up to speed on the latest improvements in Hazelcast v3.8.
Learn about Hazelcast IMDG for the Financial Services Industry.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Oracle Coherence.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Pivotal GemFire.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Terracotta.
Includes reference for Distributed Data Structures, Serializable Objects, the Executor Service, and more.
Learn about deploying Hazelcast IMDG on Amazon EC2