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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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
The digital world is different. Microseconds matter.
That's why the world's largest organizations rely on us to power
their most time-sensitive applications at scale.
We are happy to announce the first General Availability release of Hazelcast Jet, two years after our first public release and three years after the project first started. This version includes several exciting new features.
We’ve crushed a lot of bugs, provided general performance improvements, plus we’ve added some great new features.
With Hazelcast Cloud, companies can realize microsecond performance for critical applications from the smallest to the most extreme scale, all in a simplified and instantaneous deployment model.
Watch this on-demand webinar to learn all about the enhancements in IMDG 3.12
Hazelcast Cloud is an on-demand managed service for the Hazelcast In-Memory Data Grid. It can reduced deployment and maintenance costs, has flexible scaling, and is updated automatically.
Includes the full feature list for the Hazelcast IMDG® products.
Discover why stream processing is the logical next step for in-memory processing projects.
How will your business adapt to the new reality?
Learn how Hazelcast Jet with in-memory streaming and fast batch processing improves performance.
New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record.
We measure success in microseconds.
Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability.
Hazelcast In-Memory solutions are complementary to databases and orders of magnitude faster. Time is money; give your new apps the microsecond response time they need to drive your business forward. Leave the data preservation to the database and leverage Hazelcast for data processing at digital speed.
In the digital era, users won’t wait. Whether it’s a complex e-commerce transaction or a machine learning-powered customer self-service portal, speed is everything. Hazelcast customers have actually leveraged our speed to create more time in their tiny processing windows to layer in more and deeper services, creating exceptional business value while delivering their industry’s best user experience.
With enough speed and scale there is more time to filter risks more thoroughly. Run more stringent fraud detection, review policy risks in real-time, run machine learning algorithms without compromising user experience. Hazelcast enables unthinkable applications.
Arguably the single most important part of your business. Get security wrong and everything else suffers. Hazelcast In-Memory solutions bring a whole new level of capability to security enablement, as proven by some of the world’s most demanding customer environments.
The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
Hazelcast In-Memory solutions can meet the growing demand for faster response time, greater integration, better fraud and risk management. They can also provide deeper insights from continuous streams of financial activity. Hazelcast allows you to unlock more value from transactional systems through faster integration to systems of record.
Hazelcast In-Memory solutions deliver unprecedented speed and stability in a world where billions of devices are streaming data continuously. Power machine learning and artificial intelligence (AI) applications at scale with no risk of downtime, leading to lower costs and increased customer satisfaction.
Government, whether at the federal, state or local level, requires speed, scalability, transparency, and efficiency. Hazelcast In-Memory solutions offer the depth and flexibility to cover the breadth of government applications, from in-theater intelligence to local voter registration.
Delivering e-commerce systems that provide competitive advantage is one of the toughest challenges facing retailers today. While speed and availability are table stakes in today’s online world, retailers must also make sense of the huge volumes of data generated by customers, which is where Hazelcast delivers an unfair advantage.
To be able to provide a dependable service to tens of thousands of concurrent players, gaming companies require a fast, elastic and easy-to-use system that brings the speed and stability associated with Hazelcast In-Memory solutions, while providing instant access to a reliable system of record.
Media consumers are more demanding than ever – asking not only for their own content on their own schedule, but content from all sources delivered as a stream with recommended content mixed in. Complex requirements driven by the need for immediate gratification make in-memory the perfect use case for media companies.
Hazelcast In-Memory Computing Platform provides a global, reliable and elastically scalable fabric that can deploy across a wide area to support commercial and military logistics including transport, container shipment, travel, supply chain, GIS, and many other use cases.
This use case outlines how a logistics company has cut maintenance costs and drastically reduced the overhead of setting up new applications. Hence, time to market is shortened by streamlining the process of keeping the data model of the in-memory data grid in sync with the data sources.
In this webinar, we will present the tools that Hazelcast Jet brings to the table when it comes to operating long-running streaming applications in the cloud. Can’t attend the live times? You should still register! We’ll be sending out the recording after the webinar to all registrants.
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. The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the processing starts. In the case of failures the whole job can be simply restarted.
While quite simple and robust, the batching approach clearly introduces a large latency between gathering the data and being ready to act upon it. The goal of stream processing is to overcome this latency. It processes the live, raw data immediately as it arrives and meets the challenges of incremental processing, scalability and fault tolerance.
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.