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. 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