Spring Cloud Data Flow Alternatives

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

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.

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

Open Source

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.

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

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

Open Source

The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Open Source

Event Stream Processing

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Open Source

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

An easy to use, powerful, and reliable system to process and distribute data.

Open Source