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!
See the results of the Radar-Gun Benchmark hz-benchmark-clusterSize-byWorkingThreads.xml.
These are configured to run Radar-Gun’s own benchmark basic-operations-test.
These tests were performed on Amazon EC2.
Hazelcast is up to 70% faster than Infinispan. Hazelcast scales better than Infinispan and has better latency outliers.
4 Node cluster results
6 Node cluster results
Infinispan has 2 modes of operation.
Infinispan has some very big outliers.