These guides demonstrate the operational flexibility and speed of the Hazelcast In-Memory Computing Platform. Set-up in seconds, data in microseconds. Operations and developer friendly.
Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:
Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:
As a next step, you will be able explore the code samples and extend your setup more features and connectors.
With the Scala API for Hazelcast IMDG, the fastest open source caching solution is now available to Scala applications. Elastically scale Scala caching. Hazelcast is an excellent Redis alternative when scaling and speed are of importance.
The Hazelcast-Scala API is based on Scala 2.11 and Hazelcast 3.6, but does not define them as hard dependencies, so make sure to also include the relevant Hazelcast dependencies.
import com.hazelcast.config._ import com.hazelcast.Scala._ val conf = new Config serialization.Defaults.register(conf.getSerializationConfig) val hz = conf.newInstance()
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