Amazon Kinesis Alternatives

    Amazon Kinesis is described as 'services make it easy to work with real-time streaming data in the AWS cloud' and is an website in the Development category. There are six alternatives to Amazon Kinesis, not only websites but also apps for a variety of platforms, including Mac, Windows, Linux, SaaS and Docker. The best alternative is Apache Spark, which is both free and Open Source. Other great sites and apps similar to Amazon Kinesis are Apache Hadoop (Free, Open Source), Disco MapReduce (Free, Open Source), Robotic Data Automation (RDA) (Freemium) and Apache Storm (Free, Open Source).

    This page was last updated Jun 24, 2021

    1. Apache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.
    2. Apache Hadoop is a 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.
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      Apache Hadoop vs Amazon Kinesis opinions
      pros, cons and recent comments
      It's batch and not near-real-time
      Negative comment about 4 years ago


    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. RDA automates IT DataOps with low-code software bots and pipelines authored in AIOps Studio. RDA lets you go from data to insights and action in minutes. ITOps personnel, professional service teams and MSPs can accelerate AIOps/Observability projects.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      • BSD
      Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
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    5. StreamSets DataOps Platform empowers your whole team, from highly skilled data engineers to visual ETL developers, to do powerful data engineering work.
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    Showing 6 of 6 alternatives