Top 12 Apache Storm Alternatives

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

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

  3. Heron is a realtime, distributed, fault-tolerant stream processing engine.

  4. logstash is a tool for managing events and logs.

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

  6. alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

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

  8. SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.

  9. Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

  10. Azure Stream Analytics offers real-time stream processing in the cloud.

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

  12. Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

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This article was published on | Author: | Publisher: SaaSHub
Categories: Stream Processing, Data Management, Big Data