Software
We've compiled a list of 5 free and paid alternatives to Apache Hadoop. The primary competitors include Apache Spark, Upsolver. In addition to these, users also draw comparisons between Apache Hadoop and Apache Flink, dispy, Disco MapReduce. Also you can look at other similar options here: Development Tools.
We've compiled a list of 5 free and paid alternatives to Apache Hadoop. The primary competitors include Apache Spark, Upsolver. In addition to these, users also draw comparisons between Apache Hadoop and Apache Flink, dispy, Disco MapReduce. Also you can look at other similar options here: Development Tools.
Apache Spark™ is a fast and general engine for large-scale data processing. Speed
The only Data Preparation Platform that lets you prepare and deliver data at a massive scale in a...
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and...
dispy is a Python framework for parallel execution of computations by distributing them across...
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...
Apache Hadoop is a open source software framework that supports data-intensive distributed...
Apache Hadoop is a open source software framework that supports data-intensive distributed...
Linux
Mac
Windows
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.
Distributed Computing
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