Spring Cloud Data Flow
Spring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.
Best Spring Cloud Data Flow Alternatives & Competitors in 2025
The best Spring Cloud Data Flow alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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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.
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Confluent offers a real-time data platform built around Apache Kafka.
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Striim provides an end-to-end, real-time data integration and streaming analytics platform.
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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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Event Stream Processing
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Level up your Java code and explore what Spring can do for you.
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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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Leo enables teams to innovate faster by providing visibility and control for data streams.
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Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?