Apache Hadoop Alternatives

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, Disco MapReduce, dispy and HPCC Systems.

Apache Hadoop alternatives are mainly Cloud Computing Services but may also be Web Analytics Services. Filter by these if you want a narrower list of alternatives or looking for a specific functionality of Apache Hadoop.

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Apache Hadoop

Free • Open Source

Mac
Windows
Linux

Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the...

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Apache Spark
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Free • Open Source
Cloud Computing Service
Web Analytics Service
Mac
Windows
Linux
8 alternatives to Apache Spark
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.
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Apache Spark Features
Parallel Computing
Data analytics
Apache Flink
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Free • Open Source
Cloud Computing Service
Mac
Windows
Linux
BSD
13 alternatives to Apache Flink
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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Apache Flink Features
Data analytics
Streaming
Disco MapReduce
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Free • Open Source
Mac
Windows
Linux
6 alternatives to Disco MapReduce
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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Disco MapReduce Features
Distributed
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dispy
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Free • Open Source
Mac
Windows
Linux
3 alternatives to dispy
dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid. dispy is well suited for data parallell (SIMD) paradigm where a computation is evaluated with...
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dispy Features
Distributed Computing
Parallel Computing
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HPCC Systems
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Free • Open Source
Linux
2 alternatives to HPCC Systems
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.
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HPCC Systems Features
Parallel Computing
Amazon Kinesis
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Paid • Proprietary
Web Analytics Service
Online
6 alternatives to Amazon Kinesis
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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Amazon Kinesis Features
Streaming
Data streaming
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Upsolver
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Paid • Proprietary
Cloud Computing Service
Online
3 alternatives to Upsolver
Upsolver is an In-Memory Data Preparation Platform. It removes the complexity from Big Data and Real-Time projects and shortens their implementation time from weeks/months to several hours, literally.
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Upsolver Features
Streaming
Data analytics