For mission-critical, high-performance applications at speed, scale, and with continuous processing
Hazelcast connects a set of networked/clustered computers to pool together their random access memory (RAM) and CPU power to let applications share data structures and run parallelized workloads in the cluster.
The primary advantage is speed, which has become critical in an environment with billions of mobile, IoT devices and other sources continuously streaming data. With all relevant information in RAM, there is no need to traverse a network to remote storage for transaction processing. The difference in speed is significant – minutes vs. sub-millisecond response times for complex transactions done millions of times per second.
Hazelcast Low-Latency Storage Features
High-Density Memory Store
Enables the largest data sets to run efficiently in a high-performance cluster across your most popular data APIs. Certified for use with Intel Optane DC Persistent Memory for RAM speeds at higher densities and lower cost.
Combine the speed of RAM with the cost-effective scale of disks/SSDs to store more data used as reference data for enriching data streams, or as a low-latency data mart for downstream analytics.
Provides a comprehensive view of all cluster activity, along with configurable watermarks for alerts through a web-based user interface and cluster-wide JMX and REST APIs.
Hot Restart Store
Whether the restart is a planned shutdown or a sudden cluster-wide crash, Hot Restart Store allows full recovery to the previous state of configuration and cluster data. Certified for use with Intel Optane DC Persistent Memory for 2.5X faster restarts than with SSDs.
Upgrades cluster nodes and versions without service interruption.
Provides standards-based Java Authentication and Authorization Service (JAAS) and interoperable encryption, authentication, and access control checks to mission-critical applications.
Synchronize multiple Hazelcast clusters in different datacenters for disaster recovery with a low recovery point objective (RPO), or geographic locality. Supports active-active and active-passive topologies.
Switch between alternate clusters on demand in a blue/green deployment strategy, where an offline, updated cluster (the “green” cluster) is enabled and clients are redirected to that cluster. Should a problem arise, clients can be directed back to the original live (“blue”) cluster.
Automatic Disaster Recovery for Clients
Clients can be configured to automatically failover to a disaster recovery cluster to maintain a low recovery time objective (RTO), as part of your disaster recovery strategy.
Enterprise PAAS Deployment Environments
Enables your applications to run in the most popular enterprise container management environments, Pivotal Cloud Foundry and OpenShift Container Platform.
24×7 service and support with a one-hour service-level agreement, as well as maintenance and hot patch fixes.
Hazelcast Distributed Storage and Compute Applied to Fraud Detection
Competent fraud detection systems can help organizations gain a clearer view of entities, relationships, and hidden patterns as they deal with financial crimes, including payment card fraud, anti-money laundering and anti-terrorist financing. Hazelcast can store account details, recent transaction history and scoring all in one place for powerful, comprehensive checks, live within the request. Short SLAs measured in milliseconds means that these checks must be done very fast. If high-speed fraud detection is your concern, Hazelcast is a perfect fit.
Transforming and Simplifying Public Sector IT
The UK’s largest Internet of Things (IoT) network serves more than 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 internet. This completes 20,000 writes per second in a 20-node Hazelcast cluster with plenty of spare capacity and an average latency of under 1 millisecond.
Hazelcast is used as the back-end infrastructure for many IoT deployments. Everything from in-home thermostats and lighting systems to industrial sensors, such as smart meters and in-store e-Commerce systems.
An overview of the Hazelcast Platform, including hands-on lab exercises
Complete this course series to earn the Developer Essentials credential.
Complete this course series to earn the Operations credential.
A Real-Time Reference Architecture for Data-Driven Businesses
This real-time architecture paper gives you ideas on what to look for when pursuing a real-time business and gives some guidance on the high-level components of a real-time architecture you need to deliver the most value from your fresh data.
Achieving Real-Time for Competitive Advantage – A Technology Perspective from Silicon Valley
In this webinar, we will discuss how businesses are using data to achieve real-time operations, seen from a Silicon Valley perspective
HazelVision 11: Generic Record
Hazelcast’s distributed compute features have traditionally required developers to upload class definitions to the cluster, making it difficult to evolve classes or define them in non-Java languages. Generic records provide a more flexible way to describe data that avoids these issues.