Apache Spark 1.1.1

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:
November 27th, 2014, 12:48 GMT
price:
FREE!
developed by:
UC Berkeley AMP Lab
homepage:
spark-project.org
license type:

BSD License

operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
category:
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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