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.
Hazelcast is an open source software platform that unifies transactional, operational and analytical workloads by combining stream processing with in-memory computing. The stream processing architecture is high performance and low latency driven, based on a parallel, streaming core engine which enables data-intensive applications to operate at real-time speeds.
Hazelcast processing jobs take full advantage of the distributed in-memory data structures to: