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 Jet is a high throughput, low latency, distributed stream processing engine that enables applications with the highest performance. It is a core component of the Hazelcast In-Memory Computing Platform which provides a suite of capabilities for high performance, distributed computing workloads. Fast access data storage, distributed computation, and real-time event stream processing being chief among these. Jet is a very lightweight and efficient Java library.
This guide includes a discussion on how to submit jobs in embedded mode. For information on submitting jobs in client/server mode, please see the Submitting Jobs in Hazelcast Jet guide.