Hazelcast 3.7 — the first fully modularized in-memory data grid
Open source in-memory data grid Hazelcast has just released version 3.7. This release is 30 percent faster than previous versions and represents Hazelcast’s first fully modularized version. Let’s see what else is included in Hazelcast 3.7.
Hazelcast 3.7: What’s new?
Hazelcast just announced the general availability of its 3.7 version. This release is 30 percent faster than the previous version and comes with 29 plugin modules and eight programming language bindings. Plus, it supports deployment into nine different cloud environments; that number can grow via Cloud Discovery Plugins.
To make version 3.7 even faster, the networking layer was reworked for greater concurrency. This graph below demonstrates the performance improvements in the latest release:
Hazelcast 3.7 is the first fully modularized version of Hazelcast; every client/language and plugin is now available as a module, which speeds up the development process for open source contributors. New features and bug fixes are released as modules along with the 3.7 version. It also features native Cloud Foundry integration.
According to the official announcement, version 3.7 represents the realization of their “any application, in any cloud, anytime” strategy. This release includes native integrations with the two leading PaaSes: Cloud Foundry and OpenShift, as well as container deployment options for Docker.
The client protocol introduced in Hazelcast 3.6 is starting to pay off ; the Hazelcast open source community created clients for environments including Java, Scala, .Net/C#, C++, Python, Node.js and Clojure. Plus, the user community is also beginning to experiment with the protocol and they are building independent clients.
The 3.7 version is now available in the Maven repositories and at Hazelcast’s downloads page.