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).
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.
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.