Hortonworks Data Platform

Version 1.3.10


Hortonworks Data Platform (HDP) is a 100% open source data management platform based on Apache Hadoop. HDP includes Apache Ambari, which features wizard-based provisioning, management and monitoring dashboards that make Apache Hadoop easy to consume and use in production. For more information on HDP, please visit the Hortonworks Data Platform page.

  • SQL “IN” HadoopApache Hive 0.11 offers a 50x improvement in performance for queries and broadens the range of SQL semantics supported in Hadoop as part of the Stinger Initiative
  • Business ContinuityHDP 1.3 delivers file dataset (HDFS) and HBase snapshots for point-in-time disaster recovery functionality.
  • Apache AmbariAmbari now features job diagnostic improvements, more customization options, improved heatmaps and broader support for existing enterprise platforms.
  • Data Integration ImprovementsHDP 1.3 provides more access to enterprise data from Hadoop with optimized Oracle and Netezza connectors, enhanced HCatalog support for Sqoop and the ability to transfer Sqoop direct loads to/from RCFile and ORCFile.
  • Apache HBase UpdateThis release includes multi-master high availability, table snapshots and shortened recovery times for online applications built on Hadoop
  • NFS Access to HDFSThis release provides NFS v3 standards-based access to HDFS so that file system can be accessed as a mounted drive on the network, simplifying movement of data in and out of Hadoop.

Technical Specifications

Component Version
Apache Hadoop 1.2.0
Apache Hive 0.11.0
Apache HBase
Apache ZooKeeper 3.4.5
Apache Pig 0.11
Apache Sqoop 1.4.3
Apache Oozie 3.3.2
Apache Ambari 1.4.1
Apache Flume 1.3.1
Apache Mahout 0.7.0
Hue 2.2.0

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.

Automated (Ambari)
The fastest way to get started. Apache Ambari simplifies the provisioning, management and monitoring of your cluster.
RHEL/CentOS 5 + 6 (64-bit), SLES 11 SP1 (64-bit)
Manual (RPMs)
Roll up your sleeves and use this option to install and configure your cluster manually with the RPM packages.
RHEL/CentOS 5 + 6 (64-bit), SLES 11 SP1 (64-bit)
Tarballs (tar.gz)
Use the project tarballs (which follow the Apache structure) for the most custom and flexible installation.
RHEL/CentOS 5 + 6 (64-bit), SLES 11 SP1 (64-bit)

Please review the latest release notes here

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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.

Hortonworks Connector for Teradata

The Hortonworks Connector for Teradata is the fastest and most scalable way to transfer data between Teradata Database and Apache Hadoop. Jointly developed by Teradata and Hortonworks, the Connector plugs into Hortonworks Data Platform and offers wire-speed, fully parallel data transfers between Teradata and Apache Hive, HBase, HCatalog or HDFS. The connector lets you move more data faster, freeing up more time for critical data processing.

Hortonworks Hive ODBC Driver (Windows + Mac)

The Hortonworks Hive ODBC Driver allows you to connect popular Business Intelligence (BI) tools to query, analyze and visualize data stored within the Hortonworks Data Platform.

Hortonworks Hive ODBC Driver (Linux)

The Hortonworks Hive ODBC Driver allows you to connect popular Business Intelligence (BI) tools to query, analyze and visualize data stored within the Hortonworks Data Platform.

Quest Data Connector for Oracle and Hadoop

The Quest® Data Connector for Oracle and Hadoop is a Sqoop plugin that enables high-performance data transfer between Oracle Database and Hadoop. This version is compatible with Hortonworks Data Platform.