Software Alternatives & Reviews

Apache Flink

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

Apache Flink Alternatives

The best Apache Flink alternatives based on verified products, community votes, reviews and other factors.
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  1. 50

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

  2. 42

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

  3. Featured

    LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics.

    Try for free freemium $99.0 / Monthly (10k sessions / unlimited users / 1-month data retention)

  4. 28

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

  5. 28

    Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

  6. 21

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

  7. 23

    An Open Source, full stack, web application framework for the JVM

  8. 21

    Apache Struts is an open-source web application framework for developing Java EE web applications.

  9. 19

    Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

  10. 25

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

  11. 16

    Seamless two-way sync between your CRM, marketing apps and Google in no time

  12. 21

    Java Web Frameworks

  13. 20

    Jetty is a highly scalable modular servlet engine and http server that natively supports many modern protocols like SPDY and WebSockets.

  14. 20

    Java Web Frameworks

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Author: | Publisher: SaaSHub
Categories: Stream Processing, Big Data, Developer Tools


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