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.
If you want similar software to Apache Hadoop, we have a list for that. Are there Apache Hadoop alternatives out there? Let's find out.
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...
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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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Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm and written in Python.
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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...
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The only Data Preparation Platform that lets you prepare and deliver data at a massive scale in a matter of minutes.
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