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.
An In-Memory Computing Platform is predicated on the integration of in-memory technologies, such as an in-memory data grid and in-memory stream processing, which together are complementary to systems of record, aka a database. A system of record provides persistence of data, (which is what it was designed to do), but is poorly suited for today’s high-volume data-streaming environment and the need for immediacy.
In this whitepaper, you will learn how an IMCP helps companies achieve the real-time data processing they need.