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.
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.
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.
“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.