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.
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Starting with the Hazelcast C++ client 3.6.2, the new API concept of “Raw Pointer” adaptors is introduced. You can now obtain memory ownership of returned object provided by the C++ API and manage object’s memory in your own library. The new API also adds the capability of late deserialization for multiple-value returning APIs such as […]
I am happy to announce that we now added the Continuous Query capability to C++ client with the release of our Hazelcast C++ client version 3.6.2. It is now possible to register an entry listener for a Map that will be triggered only when the specific Map entries that you choose are affected. This allows […]
