This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
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.