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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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.
When immediacy matters.
Financial data delivered in real-time. Online shopping at click-speed. Delivery times shown in an instant. Payment processing with non-stop fraud detection and approval in a snap. From start to finish, every experience happening at the speed of life.
Hazelcast helps you achieve it.
At Hazelcast, we imagine the impossible and make it a reality. Every single day. Because some of the most innovative, forward-thinking companies on the planet depend on us to accelerate their applications.
The Hazelcast In-Memory Computing Platform is powerful, easy to work with, and brings a highly resilient and elastic memory resource for both data at rest and data in motion. It is built to address a broad range of business needs, at high speed and internet scale.
have made purchases as a result of a personalized recommendation from a brand
Enable massive increases
in the speed of service delivery.
Create new application services
that turn data into valuable real-time experiences.
delay in website load time
can hurt conversion rates by 7%
Achieve strong customer engagement
and reduce churn with instantaneous transaction processing.
Capture new business opportunities
as they unfold in real-time.
Gross fraud losses
to payment card issuers, merchants, and acquirers in 2017
Discover and remediate
unplanned events as they occur.
Enable non-stop fraud detection
to reduce business losses.
One-day increase in web traffic
on Cyber Monday 2018
Better manage and measure
business performance through instant data availability.
Maximize cloud investments
with an in-memory computing resource that optimizes performance across public, private, hybrid and multi-cloud networks.
The possibilities are just a click away.
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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.
This white paper provides a point by point comparison of Hazelcast IMDG and Apache Ignite/GridGain across a number of dimensions.
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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