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!
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The in-memory speed you count on, with the convenience and scalability of cloud.
While Hazelcast has run performance benchmarks against Oracle Coherence, the Oracle Technology Network License does not permit us to “disclose results of any program benchmark tests without Oracle’s prior consent.”
However, most people comparing Hazelcast IMDG® with Coherence will actually want to run a benchmark. With this in mind, we have a benchmark suite which we can share with you here.
Key Advantages of Hazelcast
While Hazelcast and Coherence share many similarities as true in-memory data grids, Hazelcast offers advantages that Coherence users should note.
Hazelcast includes features not available in Coherence, including support for multimaps, ring buffers, HyperLogLog, distributed atomic longs, distributed atomic refs, and distributed semaphores.
In addition to Java, C++, and C# (also supported by Coherence), Hazelcast supports Python, Node.js, Scala, and Go.
Hazelcast supports the near-cache and pipelining capabilities to boost performance.
Hazelcast supports reduced downtime via hot restart and rolling upgrades.
Hazelcast scales up by storing data in off-heap memory for higher capacity via the High Density Memory Store. Coherence relies on spilling over to disk, and requires running multiple server instances with a very small heap to mitigate garbage collection pauses.
Hazelcast is a cloud-native in-memory data grid that can be deployed anywhere. Hazelcast provides a lightweight technology in the form of a small JAR file that allows embedding in any Java application. Coherence deployment options are limited.
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.
