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Confluent offers a real-time data platform built around Apache Kafka.

Open Source

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Open Source

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Open Source

Leo enables teams to innovate faster by providing visibility and control for data streams.

Apache Storm is a free and open source distributed realtime computation system.

Open Source

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Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Open Source

Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Apache Kafka: A Distributed Streaming Platform.

Apache Gearpump is a real-time big data streaming engine.