All Resources
Enriching Data Streams with Hazelcast Jet
Recorded Webinar from November 8, 2018
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.
Uncategorized
The Evolution of Stream Processing and Top Use-Cases
Recorded Webinar from November 13, 2018
In this webinar we will cover the evolution of stream processing and in-memory related to Big Data technologies and why it is the logical next step for In-Memory processing projects.
Uncategorized
Understanding In-Memory Technologies and Caching Strategies
Recorded Webinar from October 25, 2018
Are you a developer, software engineer or architect looking to apply in-memory technologies to your current architecture to deliver ultra-fast response times, better performance, scalability and availability? Are you looking for new tools and techniques to manage and scale data and processing through an in-memory-first and caching-first architecture?
Uncategorized
What’s New in Hazelcast IMDG 3.11
Recorded Webinar from November 6, 2018
The Hazelcast IMDG® 3.11 release has been a significant community driven effort, with Hazelcast IMDG 3.11, we are making sure all of our code will be functional with the language features and ecosystem improvements introduced in Java 9, 10 and 11.
Uncategorized
Hazelcast – Using In-Memory Key-Value Stores
Podcast
Join Rafal Leszko, Software Engineer at Hazelcast, as he discusses caching and other valid use cases for in-memory key-value stores. He will introduce the Hazelcast In-Memory Data Grid (IMDG) tool and present the features which make so many companies choose it over other similar solutions. Rafal will also provide details with regards to the Hazelcast OpenShift integration.
Uncategorized
How to Deploy Cloud-Native Applications in Kubernetes
Recorded Webinar from September 27, 2018
In this webinar, we will take a look at what it means for anyone currently using or interested in using Hazelcast to build a cloud native application. We will review how to setup and deploy using a sample application, and get you ready to have a starter application of your own running on Kubernetes.
Uncategorized
Should You Adopt a Streaming-First Architecture
Recorded Webinar from August 15, 2018
Many companies today have a mix of batch, mini-batch, and stream-based processing. The question is whether organizations should embrace streaming as the default mode of data acquisition? Several vendors are now pitching streaming-first architectures and extolling the benefits of processing data in real-time. This webinar will explore the pros and cons of a streaming-first architecture and examine industry trends in its adoption.
A Technology Platform for Open Banking
White Paper
Learn how the Hazelcast Open Banking platform enables banks to cost effectively tackle the technical challenges and seize the opportunities posed by Open Banking through the delivery of elastically scalable Open APIs.
Hazelcast IMDG Deployment and Operations Guide
Guide
This guide will provide an introduction to the most important aspects of deploying and operating a successful Hazelcast IMDG installation. Updated for Hazelcast IMDG 3.11.
Gamesys and Hazelcast IMDG, Gaming Industry Case Study
Case Study
Learn why Gamesys turned to Hazelcast when it was building a highly scalable poker platform. It required a fast, elastic and easy to use solution that could be used for both real money and social gaming.
Getting Started with Stream Processing
Recorded Webinar from July 31, 2018
Java Champion, Ben Evans, will provide an introduction to stream processing and teach more about core techniques and how to get started building a stream processing application using real world use cases and live demos.
A Reference Guide to Stream Processing
White Paper
The goal of streaming systems is to process big data volumes and provide useful insights into the data prior to saving it to long-term storage. This white paper introduces you to the domain of stream processing covering topics such as use cases that benefit from stream processing, the building blocks of a stream processing solution, key concepts used when building a streaming pipeline, and runtime aspects and trade-offs between performance and correctness.
Invoking Hazelcast IMDG from MuleSoft: Best Practices for Deployment
Guide
Hazelcast IMDG® has been a popular choice with MuleSoft users to cache data in an external in-memory cluster. This is also a very easy way to pass data or share state from one service to another. This document provides a step-by-step guide on how to store, retrieve and share data between services using an external Hazelcast cluster from multiple MuleSoft services.
Hazelcast Jet for Hazelcast IMDG Users
Recorded Webinar from May 9, 2018
In this webinar, we’ll showcase some of Jet’s capabilities, such as: real time ingestion of data from Kafka into Hazelcast, building a ETL pipeline which can pump data into Hazelcast from a system of record or export to it, enriching stream data with low latency using Hazelcast as a cache, and using Jet for event based processing.
Uncategorized
Building Real-Time Data Pipelines with a 3rd Generation Stream Processing Engine
Recorded Webinar from May 22, 2018
Hazelcast Jet is a 3rd generation stream processing engine. In this webinar you’ll find out how easy it is to deploy and get started. Join us to learn how to build batch and streaming data pipelines using the fluent, high-level Java API of Hazelcast Jet.
Uncategorized
What’s New Hazelcast IMDG 3.10 – New Data Structures & Enhanced Split-Brain Protection
Recorded Webinar from May 23, 2018
The Hazelcast IMDG 3.10 release has been a significant community driven effort and includes the release of a conflict-free replicated data type (CRDT), a Flake ID Generator and several split-brain protection enhancements.
Introduction to In-Memory Data Grids
Recorded Webinar from May 3, 2018
This talk will enable you to get started exploring Hazelcast and give your project a jump start in application speed and scale.
Getting Started with Stream Processing
White Paper
This paper is intended for software developers and architects who are planning a Big Data, IoT, or low latency application that requires scalable, high-performance processing, and want to understand the critical infrastructure requirements.
Hazelcast IMDG Go Client Code Reference Card
Ref Card
Get up and running with the Hazelcast IMDG Go Client quickly with this easy to use reference card.
Operationalizing Predictive Analytics with In-Memory Data Grids
Recorded Webinar from March 14, 2018
In this webinar, we will explore ways to easily operationalize or inject the benefits of predictive analytics in real-time application using Hazelcast IMDG and Jet.
Golang for In-Memory Data Grids
Recorded Webinar from March 6, 2018
In this webinar, we’ll look at the IMDG from the perspective of the Go programmer.
What is an IMDG? How do you connect to one? And of course, the most important,
what you can do with it.
Hazelcast IMDG for Couchbase Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Couchbase.
How to Shrink Objects on the Wire
Recorded Webinar from December 12, 2017
In this webinar we’ll cover the possible options for data storage in Hazelcast, and how these impact speed, space and cost. In this webinar, we’ll start from the basics, and progress incrementally through the various options, pointing out the pros and cons for each.
Real-time Stream Processing with Hazelcast Jet 0.5
Recorded Webinar from November 29, 2017
Learn about the new Jet Pipeline API and other improvements that we’ve made in this webinar presented by Marko Topolnik, Senior Software Engineer at Hazelcast.
Transforming and Simplifying Public Sector IT
Case Study
Learn how Irish Revenue updated their IT architecture to handle nationwide online reporting of a new property tax.
Hazelcast IMDG Rolling Upgrade Feature Deep Dive
White Paper
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.
Hazelcast IMDG Deployment Checklist – 10 Steps for Going into Production
Recorded Webinar from September 19, 2017
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
Case Study
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.
Upgrading Hazelcast IMDG Without Downtime: A deep dive into Rolling Upgrades
Recorded Webinar from September 13, 2017
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.
Jet 0.4 vs Spark and Flink Batch Benchmark
Benchmark
Compare Jet 0.4 vs Flink 1.2.0 & Spark 2.1.1 in this Benchmark.
Hazelcast IMDG Enables Irish Revenue to Meet Peak Web Demand
Case Study
In this Video Case Study, learn how Irish Revenue updated their IT architecture to handle nationwide online reporting of a new property tax.
Hazelcast IMDG Data Safety and Discovery with Eureka
White Paper
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.
Hazelcast IMDG Powers Seamless User Experiences
Case Study
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).
Hazelcast IMDG Powers Real-time Fraud Detection
Case Study
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.
Microservices with Hazelcast IMDG at a Global Pizza Delivery Chain
Case Study
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…
Hazelcast IMDG Accelerates Inventory Management, Speeds Purchases
Case Study
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.
Hazelcast Powers Internet-of-things Infrastructure
Case Study
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.
Hazelcast IMDG Accelerates Digital Transformation
Case Study
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.
Hazelcast IMDG Enables Open Government to Meet Peak Web Demand
Case Study
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.
Hazelcast IMDG Accelerates Financial Market Data Access for Investment Banking
Case Study
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.
Hazelcast IMDG Accelerates Risk Management Reporting, Decreases Risk Exposure
Case Study
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.
Hazelcast Connects the Dots of Access Control
Case Study
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.
Hazelcast Provides All-in-one Technology for Real-time Foreign Exchange Quotation Management
Case Study
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.
Excel at Customer Experience with Hazelcast IMDG
Case Study
This case study presents a comparison of alternative data stores and approaches, showing how one top US media company is using Hazelcast IMDG.
Hazelcast IMDG Powers Real-time Infrastructure for E-commerce
Case Study
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.
Hazelcast IMDG & the Insurance Industry
Case Study
Download this case study to learn more about Hazelcast IMDG for the Insurance Industry. Includes featured customers.
Hazelcast IMDG for E-Commerce
Case Study
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.
Distributed Caching for Your Next Node.js Project
Recorded Webinar from June 6, 2017
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.
Redis 3.2.8 vs Hazelcast IMDG 3.8 Benchmark
Benchmark
This is a comparison between a Redis 3.2.8 cluster and a Hazelcast IMDG 3.8 cluster.
Hazelcast IMDG C# / .NET Client Code Reference Card
Ref Card
Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.
Deploying Hazelcast IMDG and Apache Kafka for IoT Stream Processing and Analytics
Recorded Webinar from April 25, 2017
Learn how IoT applications can benefit by combining Apache Kafka and Hazelcast IMDG.
Hazelcast IMDG Node.js Client Code Reference Card
Ref Card
Get up and running with the Hazelcast IMDG Node.js Client quickly with this easy to use reference card.
Memcached 1.4.33 vs Hazelcast IMDG 3.7.5 Benchmark
Benchmark
Compare performance of Memcached 1.4.33 vs Hazelcast IMDG 3.7.5
Introducing Hazelcast Jet – Distributed Stream and Batch Processing
Recorded Webinar from April 11, 2017
Learn about in-memory distributed processing for big data with Hazelcast Jet.
Fast Data: The Key Ingredients to Real-Time Success
Recorded Webinar from February 23, 2017
Roundtable webinar with Aerospike, Attunity and Hazelcast
Hazelcast IMDG for TIBCO ActiveSpaces Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and TIBCO ActiveSpaces.
Data Caching Introduction
eBook
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 Datasheet
Datasheet
Hazelcast Jet is an application embeddable, distributed computing platform for fast processing of big data sets.
Going Global with In-Memory Data
Recorded Webinar from February 28, 2017
Solace and Hazelcast: Going Global with In-Memory Data
Introduction to Hazelcast IMDG with Apache Spark
White Paper
In this white paper we introduce the new Apache Spark connector for Hazelcast IMDG.
Going Multi-site with Hazelcast Enterprise
Recorded Webinar from November 30, 2016
This webinar shows how to use the Hazelcast WAN replication feature that comes with Hazelcast Enterprise and Hazelcast Enterprise HD.
Keeping Your Cache Hot with Real-Time, Push-based Synchronization
Recorded Webinar from December 13, 2016
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.
Hazelcast IMDG Striim Hot Cache Datasheet
Datasheet
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
Benchmark
Hazelcast with Azul Zing benchmarks done with Hotspot and Radargun
Hazelcast IMDG WAN Replication with Solace
White Paper
Learn the powerful benefits of combining Solace and Hazelcast IMDG for WAN Replication.
How to Maintain Your Cache/Database Consistency with XA Transactions
Recorded Webinar from October 19, 2016
In the webinar: Learn how to maintain your cache/database consistency with XA transactions
Learn the Advantages of Using Hazelcast with Spring Data
Recorded Webinar from October 25, 2016
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.
Hazelcast High-Density Memory Store: The World of Big Data and Low Latencies
Recorded Webinar from October 4, 2016
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.
Hazelcast IMDG at British Gas – Internet of Things Case Study
Case Study
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.
How to implement security features of Hazelcast Enterprise
Recorded Webinar from August 9, 2016
In this webinar, learn about Hazelcast’s extensible, JAAS based security feature.
Getting Started with Microservices Using Hazelcast IMDG and Spring Boot
White Paper
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show first steps for using Spring Boot and Hazelcast IMDG contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
Keep your caches hot across application restarts: Hazelcast Hot Restart Store
Recorded Webinar from July 7, 2016
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
Recorded Webinar from May 17, 2016
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.
Hazelcast IMDG for Redis Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Redis across a number of dimensions.
How to Speed Up Your Application Using JCache
Recorded Webinar from July 10, 2014
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.
Caching Made Bootiful: The Hazelcast Way
Recorded Webinar from April 5, 2016
“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.
Redis 3.0.7 vs Hazelcast IMDG 3.6 Benchmark
Benchmark
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.
GridGain/Apache Ignite 1.5.0 vs Hazelcast IMDG 3.6 Benchmark
Benchmark
Compare GridGain/Apache Ignite 1.5.0 vs Hazelcast 3.6 Benchmark. This benchmark was prepared using GridGain’s own benchmarking tool, Yardstick.
Java Caching Reference Card
Ref Card
Explores the building blocks of JCache and other caching APIs, as well as multiple strategies for implementing temporary data storage in your application.
Accelerate Existing Applications without Changing Code Using Hazelcast and Heimdall
Recorded Webinar from February 24, 2016
Join us for our latest webinar as we demonstrate how Heimdall can be used to “Hazelcast-enable” any existing application without changing its code.
Hot Restart Store Performance Benchmark
Benchmark
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.
Pivotal GemFire, Apache Geode vs Hazelcast IMDG
Benchmark
This white paper provides a point by point comparison of Hazelcast IMDG® and Pivotal GemFire.
Terracotta BigMemory/Ehcache to Hazelcast IMDG Migration Guide
Guide
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
Case Study
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.
Ellie Mae Chooses Hazelcast for its Stability, Performance, Durability and Scalability
Case Study
Hazelcast IMDG helps Ellie Mae achieve horizontal scale while continuing to deliver on service level agreements (SLA). Download the case study.
Oracle Coherence vs Hazelcast IMDG Benchmark Suite
Benchmark
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.
Red Hat Infinispan/JBoss vs Hazelcast IMDG Benchmark
Benchmark
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.
Hazelcast IMDG for Apache Ignite/GridGain Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Apache Ignite/GridGain across a number of dimensions.
GridGain/Apache Ignite 1.4.1 vs Hazelcast IMDG 3.6-EA Benchmark
Benchmark
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.
Replicated Sessions: Fail-safe HTTP sessions with Hazelcast
Recorded Webinar from September 8, 2015
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
Recorded Webinar from August 25, 2015
How to Achieve Developer-friendly, Resilient Workflow Automation with Camunda and Hazelcast.
Hazelcast IMDG on Azure: Best Practices for Deployment
Guide
Hazelcast IMDG on Azure: Best Practices for Deployment highlights best practices for cloud architects and developers gearing up Hazelcast applications to a virtual cloud environment.
Oracle Coherence to Hazelcast IMDG Migration Guide
Guide
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.
Time to Make the Move to In-Memory Data Grids
Recorded Webinar from July 16, 2015
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.
Caching Strategies Explained
White Paper
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.
Hazelcast IMDG High-Density Memory Store
Solution Brief
Read more about how High-Density Store can be used as an in-memory computing solution, specifically within a deployment larger than 4GB.
Hazelcast IMDG 3.5 Performance Measurements
Benchmark
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.
An Architect’s View of Hazelcast IMDG
White Paper
This white paper provides an introduction for architects and developers to Hazelcast’s distributed computing technology.
Hazelcast IMDG High-Density Memory Store Datasheet
Datasheet
A deeper look at key points and architecture of Hazelcast IMDG High-Density Memory Store.
The Power of the JVM: Applied Polyglot Projects with Java and JavaScript
Recorded Webinar from March 31, 2015
In this session you’ll get introduced to the latest state of the polyglot frameworks that use JavaScript and Java side-by-side.
Cluster your Application using CDI and JCache
Recorded Webinar from March 17, 2015
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.
JavaEE Applications Supercharged – Using JCache with Payara
Recorded Webinar from March 10, 2015
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.
Practical Introduction to Big Data and MapReduce
Recorded Webinar from February 5, 2015
Join Christoph Engelbert (Hazelcast) and Matti Tahvonen (Vaadin) for an introduction to Big Data and Map Reduce.
Hazelcast IMDG for IBM eXtremeScale Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and IBM eXtremeScale.
Hazelcast IMDG 3.11 Product Datasheet
Datasheet
Includes the full feature list for Hazelcast IMDG Enterprise and comparison to Hazelcast IMDG Open Source.
In-Memory Caching at the #2 eCommerce Retailer in the World
Case Study
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.
Building the Business Case for Hazelcast
White Paper
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.
Hazelcast for Telecommunications
White Paper
Learn about Hazelcast for the Telecommunications Industry.
Hazelcast IMDG for Red Hat Infinispan/JBoss Data Grid Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Infinispan/JBoss Data Grid.
Mastering Hazelcast IMDG
eBook
Learn about the important features of Hazelcast while getting up to speed on the latest improvements in Hazelcast v3.9.
Hazelcast IMDG for Financial Services
White Paper
Learn about Hazelcast IMDG for the Financial Services Industry.
Hazelcast IMDG for Oracle Coherence Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Oracle Coherence.
Hazelcast IMDG for Pivotal GemFire/Apache Geode Users
White Paper
This whitepaper provides a point by point comparison of Hazelcast IMDG and Pivotal GemFire.
Hazelcast IMDG for Terracotta Users
White Paper
This white paper provides a point by point comparison of Hazelcast IMDG and Terracotta.
Hazelcast IMDG Java Client Code Reference Card
Ref Card
Includes reference for Distributed Data Structures, Serializable Objects, the Executor Service, and more.
Hazelcast IMDG on AWS: Best Practices for Deployment
Guide
This guide is for cloud architects and developers preparing an application utilizing Hazelcast IMDG to be deployed from a physical environment to an Amazon EC2 virtualized cloud environment.