Audience

Data scientists and anyone looking for a platform to manage the distributed processing of large data sets

About Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

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Pricing

Free Version:
Free Version available.

Integrations

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Ratings/Reviews

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Company Information

Apache Software Foundation
Founded: 1999
United States
hadoop.apache.org

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Product Details

Platforms Supported
Cloud
Training
Documentation

Hadoop Frequently Asked Questions

Q: What kinds of users and organization types does Hadoop work with?
Q: What languages does Hadoop support in their product?
Q: What other applications or services does Hadoop integrate with?
Q: What type of training does Hadoop provide?

Hadoop Product Features

Big Data

Templates Not Supported
Data Visualization Not Supported
Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
Data Mining Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported