Apache Spark 1.1.0

A cluster computing system for fast data analysis
Spark was designed to improve processing speeds for data analysis and manipulation programs.

It was written in Java and Scala and provides features not found in other systems, mostly because they're not mainstream nor that useful for non-data processing applications.

Main features:

  • Programmatic APIs for developers
  • In-memory data querying
  • Interactive data mining
  • Iterative algorithms

last updated on:
September 12th, 2014, 13:21 GMT
developed by:
UC Berkeley AMP Lab
license type:
BSD License
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
C: \ Server Management


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What's New in version 1.0.0
  • This release expands Spark’s standard libraries, introducing a new SQL package (Spark SQL) that lets users integrate SQL queries into existing Spark workflows.
  • MLlib, Spark’s machine learning library, is expanded with sparse vector support and several new algorithms.
read full changelog

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