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.
Attaining the highest levels of application performance will continue to be a priority for many enterprises, and the biggest question is around how to get there. Fortunately, in-memory computing technologies are an easy choice for accelerating your applications, and they are more practical than ever because of lower RAM costs and new cost-effective technologies like Intel Optane Persistent Memory.
You have several options as your software platform for building and deploying high-speed applications. Hazelcast is the leading in-memory computing platform that is used in some of the most demanding, data-intensive environments.
Read this paper to learn how Hazelcast provides many advantages over other in-memory data technologies like Red Hat Data Grid (Infinispan).