Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service
is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Get a 30-day free trial.
Get started today with the
industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
The industry's fastest, most scalable in-memory data grid, where speed, scalability and continuous processing are the core requirements for deployment.
Looking for DEVELOPER specific content?
Hazelcast.org | IMDG Open Source
An IMDG (in-memory data grid) is a data structure or layer that resides in random access memory (RAM), as opposed to a hard drive or a database. Due to recent innovations, it’s now possible to store terabytes of data in RAM, as well as to distribute this data across multiple nodes in a network or cloud while having it run as a single system.
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, in an IMDG, 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.
Enables the largest data sets to run efficiently in an in-memory cluster across your most popular data APIs.
Provides a bird’s-eye view of all cluster activity, along with configurable watermarks for alerts through a web-based user interface and cluster-wide JMX and REST APIs.
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.
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.
Synchronizes multiple Hazelcast clusters in different datacenters for disaster recovery or geographic locality, and can be managed centrally through Management Center.
Switch between alternate clusters on demand.
Automatic failover to a disaster recovery cluster.
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.
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’s in-memory data grid is a perfect fit.
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 IMDG cluster with plenty of spare capacity and an average latency of under 1 millisecond.
Hazelcast In-Memory Data Grid 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.
See how easy it can be to add Hazelcast In-Memory Data Grid to your business. Start your free 30-day trial now.
A high-level overview of Hazelcast IMDG technology and operations
Start using Hazelcast IMDG right away with this quick demo.
How to configure Hazelcast IMDG
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.
British Gas uses Hazelcast IMDG® to store large amounts of data in memory for quick access and integrate that memory store with its current core back-end platform in order to linearly scale to the growing needs of its network.
Learn how Ellie Mae, a leading provider of innovative on-demand software solutions and services for the residential mortgage industry, found a solution in Hazelcast IMDG that enabled them to achieve horizontal scale while continuing to deliver on service level agreements (SLA), allowing them to effectively service larger and more demanding customers.
This case study profiles a major US media company's use of in-memory technology to enable high-volume Machine Learning and Artificial Intelligence applications used to build out 360-degree customer profiles, in real-time, that are used to create chatbots to handle customer support inquiries.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.