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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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Hazelcast has performed a number of performance benchmarks against Redis providing a core set of conclusions:
Our latest performance benchmark tests compare Hazelcast Enterprise 3.12 versus Redis Open Source 5.0.3. The results are similar to past benchmarks, highlighting Hazelcast’s performance advantage at scale. The table below shows some key performance metrics:
Hazelcast Enterprise 3.12
Redis Open Source 5.0.3
Throughput using 128 threads1
Throughput using 64 threads2
Throughput as load scaled3(see chart below)
Scaled linearly to 128 threads
Maxed out at 32 threads, performance degraded beyond that
1 In the Hazelcast Responds to Redis Labs’ Benchmark report.
2 In the Hazelcast IMDG Enterprise 3.12 vs Redis Open Source 5.0.3 report.
3 In the Hazelcast Responds to Redis Labs’ Benchmark report.
See the results of the latest benchmarks and read more about the background of these tests by visiting the two reports on separate benchmark runs:
We’ve compared Hazelcast and Redis performance on many occasions. See our two previous published benchmarks:
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.