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    Apache Hadoop Alternatives

    Apache Hadoop is described as 'open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to work with thousands of computational independent computers and petabytes of data' and is an app in the Development category. There are seven alternatives to Apache Hadoop for Linux, Mac, Windows, Online / Web-based and BSD. The best alternative is Apache Spark, which is both free and Open Source. Other great apps like Apache Hadoop are Apache Flink (Free, Open Source), Disco MapReduce (Free, Open Source), Amazon Kinesis (Paid) and HPCC Systems (Free, Open Source).

    This page was last updated May 14, 2022
    • FreeOpen Source
    • Mac
    • Windows
    • Linux
    Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the...
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    1. Apache Spark™ is a fast and general engine for large-scale data processing.
    2. Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
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    3. Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google.
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    4. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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    5. HPCC Systems offers an open source cluster computing platform used to solve Big Data problems. Its unique architecture and simple yet powerful data programming language (ECL) makes it a compelling solution to solve data intensive computing needs.

    6. dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid.
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    7. Upsolver is an In-Memory Data Preparation Platform. It removes the complexity from Big Data and Real-Time projects and shortens their implementation time from weeks/months to several hours, literally.
    Showing 7 of 7 alternatives