Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
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!
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.