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.
With the Java Client for Hazelcast, the fastest open-source caching solution is now available to Java applications in a client-server mode of deployment. Elastically scale Java caching. Hazelcast is an excellent Redis alternative when scaling and speed is of importance.
You can use the native Java client to connect to a Hazelcast cluster. All you need is to add hazelcast.jar into your classpath. hazelcast.jar is already bundled in the Hazelcast standard package.
You can install Hazelcast via Maven. For other options, please check our documentation.
For all downloads please see the Download Archives
CRDT PN Counter
Flake ID Generator
Distributed Executor Service
Sub-Listener Interfaces for Map Listener
Continuous Query Caching
Listener with Predicate
Near Cache Support
Preload Cache from Last Used
Eventual Consistency Control
Declarative Configuration (XML/JSON/YAML)
Client Configuration Import
Fail Fast on Invalid Configuration
Custom Authentication Modules
Management Center Integration / Awareness
Client Near Cache Stats
Client Runtime Stats
Client Operating System Stats
Google Cloud Platform
Pivotal Cloud Foundry
Open Client Protocol
Backup Acknowledgement to Client
Blue/Green Deployments and Disaster Recovery
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