HDP : Archive Release

Version 1.2.0

What's New in 1.2.0

Technical Specifications

Component Version
Apache Hadoop 1.1.2-rc3
Apache Hive 0.10.0
Apache HCatalog 0.5.0+ (0.5.0@1425288)
Apache HBase 0.94.2+ (0.94@1406700)
Apache ZooKeeper 3.4.5
Apache Pig 0.10.1
Apache Sqoop 1.4.2
Apache Oozie 3.2.0
Apache Ambari 1.2.0 RC0
Apache Flume 1.3.0
Apache Mahout 0.7.0

For the list of patches applied to the component
versions please refer to the Release Notes.

Download & Install

Hortonworks provides multiple installation options for the Hortonworks Data Platform. Based on your cluster requirements and environment, choose an option below and follow the associated instructions. And for complete product documentation, please refer to the Hortonworks Documentation site.


The fastest way to get started. Apache Ambari simplifies the provisioning, management and monitoring of your cluster.


Roll up your sleeves and use this option to install and configure your cluster manually with the RPM packages.


Use the project tarballs (which follow the Apache structure) for the most custom and flexible installation.


For Documentation, please see http://docs.hortonworks.com/HDPDocuments/HDP1/HDP-1.2.0/index.html

Search Docs

Have Questions?

Get help, answers to common questions, and collaborate with others in the forums :


High Availability Kit for VMware

Enable advanced high-availability functions and eliminate the NameNode single point of failure. This flexible Virtual Machine-based high availability solution utilizes the VMware vSphere platform to monitor and automate failover.

High Availability Kit for Red Hat

The High Availability Kit for Red Hat provides resilient failover of the NameNode by leveraging the enterprise grade high-availability capabilities of the Red Hat Enterprise Linux platform.

Talend Open Studio for Big Data

Talend Open Studio for Big Data is a powerful and versatile open source data integration tool. Talend provides data managers, operators, and analysts a graphical tool that abstracts the underlying Hadoop complexities and dramatically improves the efficiency of job design through an easy-to-use Eclipse development environment.