Resources by Type
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.
Join us for our latest webinar as we demonstrate how Heimdall can be used to “Hazelcast-enable” any existing application without changing its code.
Learn about deploying Hazelcast IMDG on Amazon EC2
This white paper provides an introduction for architects and developers to Hazelcast’s distributed computing technology.
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.
Learn about using MapReduce with Hazelcast in this webinar.
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.
Part #1 of a four-part training webinar series.
Part #2 of a four-part training webinar series.
Part #3 of a four-part training webinar series.
Part #4 of a four-part training webinar series.
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.
Caching 2 TB Data with Hazelcast
Hazelcast Co-Founder Fuad Malikov demonstrates caching 2 TB data with Hazelcast.
“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 document aims to describe different strategies for application caching strategies. It will explain the advantages and disadvantages, and when to apply the appropriate strategy.
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.
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.
Learn how IoT applications can benefit by combining Apache Kafka and Hazelcast IMDG.
Dev Diary Episode 1: Building Scalable Servers
This first episode of new video series that will explain how to design scalable systems, use distributed computing and just as a side-note how to build a chatserver.
Hazelcast IMDG helps Ellie Mae achieve horizontal scale while continuing to deliver on service level agreements (SLA). Download the case study.
In this talk we will demonstrate how to use the C# and C++ Clients to connect to a running Hazelcast Cluster.
In this module you’ll learn how to configure Hazelcast to make use of the High-Density Memory Store.
In this module you’ll learn how to connect Hazelcast to a third party authentication provider.
Join us for Part #1 of a four-part lightning talk series. we will demonstrate WAN Replication in action and how to configure it.
Learn how Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions
Roundtable webinar with Aerospike, Attunity and Hazelcast
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.
GeekOut 2014: Distributed Computing with Hazelcast
Christoph Engelbert shows us how to parallelize data processing using Hazelcast
Solace and Hazelcast: Going Global with In-Memory Data
This webinar shows how to use the Hazelcast WAN replication feature that comes with Hazelcast Enterprise and Hazelcast Enterprise HD.
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.
Compare GridGain/Apache Ignite 1.5.0 vs Hazelcast 3.6 Benchmark. This benchmark was prepared using GridGain’s own benchmarking tool, Yardstick.
Includes the full feature list for Hazelcast Enterprise and comparison to Hazelcast Open Source.
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.
Learn about Hazelcast for the Telecommunications Industry
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.
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.
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.
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.
Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.
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.
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.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Apache Ignite/GridGain across a number of dimensions.
Learn about Hazelcast IMDG for the Financial Services Industry.
This whitepaper provides a point by point comparison of Hazelcast IMDG and IBM eXtremeScale.
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 Infinispan/JBoss Data Grid.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Redis across a number of dimensions.
This whitepaper provides a point by point comparison of Hazelcast IMDG and Terracotta.
This whitepaper provides a point by point comparison of Hazelcast IMDG and TIBCO ActiveSpaces.
A deeper look at key points and architecture of Hazelcast IMDG High-Density Memory Store.
Read more about how High-Density Store can be used as an in-memory computing solution, specifically within a deployment larger than 4GB.
Includes reference for Distributed Data Structures, Serializable Objects, the Executor Service, and more.
Get up and running with the Hazelcast IMDG Node.js Client quickly with this easy to use reference card.
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.
Learn the powerful benefits of combining Solace and Hazelcast IMDG for WAN Replication.
Hazelcast Jet is a distributed computing platform for fast processing of big data sets.
Hazelcast on Azure: Best Practices for Deployment highlights best practices for cloud architects and developers gearing up Hazelcast applications to a virtual cloud environment.
Hazelcast with Azul Zing benchmarks done with Hotspot and Radargun
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.
How to Achieve Developer-friendly, Resilient Workflow Automation with Camunda and Hazelcast.
In this webinar, learn about Hazelcast’s extensible, JAAS based security feature.
In the webinar: Learn how to maintain your cache/database consistency with XA transactions
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.
This Recorded Webinar provides a hands-on demonstration of how to implement Hazelcast with your existing database. Code examples included.
Learn about HazelcastMQ in this webinar.
Hypercast, the combined solution from Hazelcast IMDG and C24 resolves the compromise between balancing query speed or data capacity: now you can have both.
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 about in-memory distributed processing for big data with Hazelcast Jet.
Introducing Hazelcast Striim Hot Cache
Hazelcast founder will provide an introduction to Hazelcast including a demo and an overview of the Hazelcast Architecture.
In this white paper we introduce the new Apache Spark connector for Hazelcast IMDG.
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.
Explores the building blocks of JCache and other caching APIs, as well as multiple strategies for implementing temporary data storage in your application.
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.
JavaLand Conference 2014
Christoph Engelbert discusses keeping your memory off the heap.
JavaOne 2014: Data Partitioning and Distributed Computing with Hazelcast
By giving a few quick introductions to different terms and some short live coding sessions, the presentation takes you on a journey through distributed computing.
JAX London 2013: Clustering Your Application with Hazelcast
Talip Ozturk shows us that when you’re using Hazelcast, distributed programming is easy and lots of fun
Compare Jet 0.3 vs Flink & Spark in this Benchmark.
Compare Jet vs java.util.stream in this Benchmark.
Learn how Hazelcast Hot Restart Store can keep your caches hot across application restarts.
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.
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.
Learn about the important features of Hazelcast while getting up to speed on the latest improvements in Hazelcast v3.8.
This webinar will provide a hands-on demonstration of how to maximize your Hazelcast performance with serialization.
This tutorial will provide step-by-step guidance on how to maximize your Hazelcast performance with serialization.
Compare performance of Memcached 1.4.33 vs Hazelcast IMDG 3.7.5
This paper is intended for software architects who are planning a Microservices deployment and want to understand all the critical infrastructure requirements.
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.
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.
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.
Learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance.
Compare Hazelcast 3.6-RC1 with Gemfire 8.2.0. Testing framework: RadarGun 2.1.0.Final in the Hazelcast Lab
Join Christoph Engelbert (Hazelcast) and Matti Tahvonen (Vaadin) for an introduction to Big Data and Map Reduce.
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.