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Apache Hadoop

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.

  • web development
  • big data
  • distributed file system
  • developer tools
  • distributed computing
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Apache Flink

Apache Flink

Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distribute ...

  • cluster computing
  • data analytics
  • big data
  • machine learning
  • streaming
Apache Spark

Apache Spark

Apache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop M ...

  • cluster computing
  • data analytics
  • data analysis
  • big data
  • machine learning
Disco MapReduce

Disco MapReduce

Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, ...

  • mapreduce
  • python
  • distributed
  • cluster
dispy

dispy

dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single ...

  • cluster computing
  • python
  • parallel computing
  • distributed computing
Upsolver

Upsolver

Upsolver is an In-Memory Data Preparation Platform. It removes the complexity from Big Data and Real-Time projects and shorten ...

  • big data analytics
  • data analytics
  • data analysis
  • big data
  • machine learning
Amazon Kinesis

Amazon Kinesis

Amazon Kinesis makes it easy to work with real-time streaming data in AWS. Amazon Kinesis is a platform for streaming data on ...

  • content delivery
  • content delivery network
  • server management
  • virtualization
  • mobile device management

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