Hazelcast, an open source in-memory data grid (IMDG), has launched Hazelcast Jet - a distributed processing engine for big data streams. With Hazelcast’s IMDG providing storage functionality, Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time. Using directed acyclic graphs (DAG) to model relationships between individual steps in the data processing pipeline, Jet is simple to deploy and can execute both batch and stream-based data processing applications. Their grid is appropriate for applications that require a near real-time experience such as sensor updates in IoT architectures (house thermostats, lighting systems), in-store e-commerce systems and social media platforms.
Jet is built on top of a one-record-per-time architecture (sometimes known as continuous operators). This means that it processes incoming records as soon as possible, opposed to accumulating records into micro-batches, consequently lowering latency for applications. Jet ingests data at high-velocity (via socket, file, HDFS or Kafka interfaces), and processes the business logic or complex computation on incoming data. A pure in-memory approach, Jet is 20x faster than Hadoop, enabling users to meet service-level requirements. It is extremely simple to program and to deploy - in particular Jet can be fully embedded for OEMs and for Microservices - making it is easier for manufacturers to build and maintain next generation systems.
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