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. Join this webinar on April 11th at 8:00 am PT / 11:00 am ET / 4:00 pm GMT 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!
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The in-memory speed you count on, with the convenience and scalability of cloud.
Digital transformation touches every part of the modern business. In-memory technology is one of the core enablers in today's data-intensive, always-on world. If speed, scalability, and stability are critical to your business, Hazelcast is the answer.
Today’s digital world is driven by vast volumes of data unthinkable only a few years back. With many billions of IoT devices and mobile users, the pressure to deliver results at internet speeds has never been greater.
Speed operates on a whole different level today. Need to process millions of transactions in microseconds? We've got you covered.
Scale up to terabytes of RAM across distributed clusters, then scale down when you don't need the resources. With Hazelcast, you only use what you need when you need it.
A system that's fast but unstable doesn't do anyone any good. With Hazelcast's parallel and distributed processing capability, your downtime is effectively zero.
In-memory speeds allow you to run fraud detection algorithms at a blindingly fast pace. Security is front and center for our customers and has always been a core part of our value.
Every aspect of your business depends on speed, scalability, stability, and security – from customer-facing service applications, to integration with back-end production and control systems, to securing the perimeter for edge use cases. Hazelcast delivers the capability you need, enabling excellence across your organization. Leading companies with the most demanding environments have seen their business transformed and elevated by the deployment of Hazelcast In-Memory solutions. Whether in e-commerce, banking, telecommunications, healthcare, or government, organizations worldwide need speed, scalability, stability, and security. Hazelcast delivers. Better than anyone.
25,000%
Reduction in time to accuracy
30 minutes to 7 seconds
1.2 microseconds
Maximum application latency
Improved customer experience
Exceed Expectations
Delight your customers and users by providing an instant response to complex queries, with a system that is always on, always ready.
Meet Burst Requirements
Move gracefully through extreme high-demand periods, then scale back just as easily when demand has diminished.
Improve Performance
Scale and improve your performance elastically, reducing hardware requirements and driving efficiency.
Digital transformation is prompting companies to move from old, expensive, legacy mainframe systems and branch networks to multi-channel self-service. They are also shifting deployment from mainframes in their own data centers to the cloud, looking for more elasticity and faster deployment.
The driver behind this move is cost reduction, an improved customer experience, and scaling for multi-channel self-service that is difficult for mainframes to do.
The Hazelcast In-Memory Computing Platform enables data to be shifted to memory for much higher performance. Hazelcast’s In-Memory Data Grid (IMDG) can be scaled to any size, and when used with a mainframe behind, offload can be as high as 90%. This can dramatically reduce costs. Hazelcast IMDG can also be used as an in-memory component of a new architecture to replace the mainframe all together. Hazelcast is a pure software system that can be deployed to any cloud provider.
The leading in-memory solution for your digital ecosystem.
Hazelcast IMDG is the leading Open Source in-memory data grid (IMDG). IMDGs are designed to provide high-availability and scalability by distributing data across multiple machines. Hazelcast IMDG enriches your application by providing the capability to quickly process, store and access the data with the speed of RAM.
Hazelcast Jet is an application embeddable, distributed stream processing platform for building IoT and microservices-based applications. The Hazelcast Jet architecture is high performance and low-latency-driven, based on a parallel, distributed core engine enabling data-intensive applications to operate at real-time speeds.
The benefits of moving to the cloud are well known and applicable to virtually every industry. Hazelcast offers our customers the flexibility to deploy to the cloud on their terms, whether it's a dedicated cloud, on-premise cloud, hybrid cloud, or private cloud.
High-Density Memory Store adds the ability for Hazelcast Enterprise HD IMDG to store very large amounts of cached data in Hazelcast members (servers) and in the Hazelcast Client (near cache), limited only by available RAM for extreme scale-up.
Stream processing is how Hazelcast processes data on-the-fly, prior to storage, rather than batch processing, where the data set has to be stored in a database before processing. This approach is vital when the value of information contained in the data decreases rapidly with age. The faster information is extracted from the data better.
The speed of the Hazelcast In-Memory Computing Platform enables new levels of real-time predictive model servicing in support of delivering artificial intelligence solutions, as well as enabling real-time engineering and model retraining.
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.
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