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Ultra-Fast Stream Processing Framework

Hazelcast Jet

Lightweight, embeddable, powerful.

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Overview

Make faster and smarter business decisions by leveraging event streaming
data in real time 

The Hazelcast Jet Stream Processing Framework.

Hazelcast Jet is an application embeddable, stream processing engine designed for fast processing of big data sets. The Hazelcast Jet architecture is high performance and low-latency-driven, based on a parallel, streaming core engine that enables data-intensive applications to operate at near real-time speeds. Jet is used to develop stream or batch processing applications using directed acyclic graph (DAG) at its core.

For more information:

  • A Reference Guide to Stream Processing
  • Jet 3.0 Streaming Benchmark
  • Cluster Sizing Estimates for Hazelcast Jet
  • Architecture & Features

    Hazelcast Jet Stream Processing Framework

    Industry-Leading Performance Industry-Leading Performance

    Built on a distributed computing platform, Hazelcast Jet offers a parallel, low-latency core engine for data-intensive applications to operate at real-time processing speeds, while cooperative multi-threading architecture enables operation of thousands of jobs simultaneously.

    Flexible Integration Flexible Integration

    Hazelcast Jet operates as shared application infrastructure or embedded directly in applications. It is ideal for microservices with a lightweight footprint, making data manipulation easy for developers and DevOps. Cloud and container ready.

    High Productivity High Productivity

    One solution provides stream, batch, and RPC processing, with a variety of connectors to enable easy integration into data processing pipelines. Scaling, failure handling and recovery are all automated for ease of operational management.

    Enterprise-Grade Storage Enterprise-Grade Storage

    Embed Hazelcast IMDG as an operational storage for enterprise-grade reliability and resilience, with high-performance integration that eliminates network transit latency and integration issues between processing and storage.

    Oil and Gas

    SigmaStream is deploying Hazelcast as a processing backbone to monitor and analyze high-frequency (50,000+ events per second) data streaming in from oil well sensors on drilling rigs operating thousands of feet beneath the North Sea (an extreme edge use case). This is an industry-leading application of streaming technology in the context of oil and gas drilling platforms and has both broad and deep applicability across the entire domain. Initial estimates indicate a 10% + cost savings in the time required to achieve true vertical depth.

    Market Data Ingest

    Hazelcast Jet uploads a stream of stock market pricing data from a Kafka topic into an IMDG map. Data is analyzed as part of the upload process, calculating the moving averages to detect buy/sell indicators.

    Flight Telemetry

    Hazelcast Jet reads a stream of telemetry data from ADS-B on all commercial aircraft flying anywhere in the world, typically 5,000 to 6,000 aircraft at any point in time. This data is filtered and aggregated, and then certain features are enriched and displayed in Grafana.

    Get started with Hazelcast Jet

    The world's most advanced stream processing framework.

    Free Hazelcast Online Training Center

    Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.