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.
In our list of best programs, we'll review some different alternatives to Apache Hadoop. Let's see if your platform is supported by any of them.
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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