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We are excited to announce that the Apache™ Tez community voted to release version 0.4 of the software.

Apache Tez is an alternative to MapReduce that provides a powerful framework for executing a complex topology of tasks for data access in Hadoop. Version 0.4 incorporates the feedback from extensive testing of Tez 0.3, released just last month.

This release is especially meaningful because it coincides with completion of the Stinger Initiative (a collaborative community effort involving 145 developers across 44 companies) and the upcoming release of Apache Hive 0.13.…

Today we are proud to announce that the formation of a terrific partnership with LucidWorks to bring search to the Hortonworks Data Platform. LucidWorks delivers an enterprise-grade search development platform built atop the power of Apache Solr.

Shared Vision and New Scenarios

Both LucidWorks and Hortonworks have a shared vision of innovating in open source and delivering it to customers in an enterprise grade platform.

As part of our continuing mission to build the a completely open, versatile enterprise data platform across many data processing scenarios then Solr offers a simple, yet powerful interface providing advanced search capabilities.…

If you’re excited to get started with the new features in Hortonworks Data Platform 2.1, then we’ve included 4 tutorials for you try out – Sandbox-style.

You can download the HDP 2.1 Technical Preview here, and then get stuck into these great tutorials.

Interactive Query with Apache Hive and Apache Tez

OK, so you’re not going to get huge performance out of a one-node VM, but you can try out Hive on Tez, and see the performance gains versus MapReduce, and also try out features such as Vectorized Query, and the host of new SQL features.…

The pace of innovation within the Apache Hadoop community is truly remarkable, enabling us to announce the availability of Hortonworks Data Platform 2.1, incorporating the very latest innovations from the Hadoop community in an integrated, tested, and completely open enterprise data platform.

Download HDP 2.1 Technical Preview Now

What’s In Hortonworks Data Platform 2.1?

The advancements in HDP 2.1 span every aspect of Enterprise Hadoop: from data management, data access, integration & governance, security and operations. …

Apache Falcon is a data governance engine that defines, schedules, and monitors data management policies. Falcon allows Hadoop administrators to centrally define their data pipelines, and then Falcon uses those definitions to auto-generate workflows in Apache Oozie.

InMobi is one of the largest Hadoop users in the world, and their team began the project 2 years ago. At the time, InMobi was processing billions of ad-server events in Hadoop every day.…

We are excited to welcome Blackrock and Passport Capital as Hortonworks investors who today led a $100M round of funding with continued participation from all existing investors.

This latest round of funding will allow us to double-down on our founding strategy: to make open source Apache Hadoop a true enterprise data platform. To that end we are focused in two areas:…

1. Lead the innovation of Hadoop. In open source, for everyone.

In February 2014, the Apache Storm community released Storm version 0.9.1. Storm is a distributed, fault-tolerant, and high-performance real-time computation system that provides strong guarantees on the processing of data. Hortonworks is already supporting customers using this important project today.

Many organizations have already used Storm, including our partner Yahoo! This version of Apache Storm (version 0.9.1) is:

  • Highly scalable. Like Hadoop, Storm scales linearly
  • Fault-tolerant. Automatically reassigns tasks if a node fails
  • Reliable. 

This blog post originally appeared here and is reproduced in its entirety here. Part 1 can be found here.

The HBase BlockCache is an important structure for enabling low latency reads. As of HBase 0.96.0, there are no less than three different BlockCache implementations to choose from. But how to know when to use one over the other? There’s a little bit of guidance floating around out there, but nothing concrete.…

Elasticsearch’s engine integrates with Hortonworks Data Platform 2.0 and YARN to provide real-time search and access to information in Hadoop.

See it in action:  register for the Hortonworks and Elasticsearch webinar on March 5th 2014 at 10 am PST/1pm EST to see the demo and an outline for best practices when integrating Elasticsearch and HDP 2.0 to extract maximum insights from your data.  Click here to register for this exciting and informative webinar!…

Today, the Forrester WaveTM: Big Data Hadoop Solutions, Q1 2014 was published by Forrester Research and while not surprised, we are delighted that this leading analyst firm recognized us as a clear leader in the Hadoop market. We could not be prouder of our unwavering strategy and hard work that is propelling us to the forefront of this burgeoning Hadoop market.

Download and review the report here.

Forrester evaluated nine vendors across a range of criterion from strategy to product and market presence and we scored a very balanced report across all categories and are way “up and to the right”.…

It gives me great pleasure to announce that the Apache Hadoop community has voted to release Apache Hadoop 2.3.0!

hadoop-2.3.0 is the first release for the year 2014, and brings a number of enhancements to the core platform, in particular to HDFS.

With this release, there are two significant enhancements to HDFS:

  • Support for Heterogeneous Storage Hierarchy in HDFS (HDFS-2832)
  • In-memory Cache for data resident in HDFS via Datanodes (HDFS-4949)

With support for heterogeneous storage classes in HDFS, we now can take advantage of different storage types on the same Hadoop clusters.…

Hadoop Summit Europe in Amsterdam is approaching fast. From Falcons to Pigs, we have a menagerie of meetups covering all things Hadoop – all with fantastic speakers. This year, we’re also delighted to expand the discussion with meetups from Splunk, SAS and Revolution Analytics.

You can sign up for any and all of the meetups below and remember these are open to everyone to attend.

Tuesday, April 1st

At the Krasnapolsky Hotel, from 5pm onwards:

  • Reception and Cocktails.

This blog post originally appeared here and is reproduced in its entirety here.

HBase is a distributed database built around the core concepts of an ordered write log and a log-structured merge tree. As with any database, optimized I/O is a critical concern to HBase. When possible, the priority is to not perform any I/O at all. This means that memory utilization and caching structures are of utmost importance. To this end, HBase maintains two cache structures: the “memory store” and the “block cache”.…

With over 230 JIRA tickets resolved, the Apache HBase community released 0.98.0 yesterday which is the next major version after 0.96.x series.

HBase 0.98.0 comes with an exciting set of new features with keeping the same stability improvements and features on top of 0.96. Additional to usual bug fixes, some of the major improvements include:

  • Reverse Scans (HBASE-4811): for use cases where both forward and reverse iteration is required, HBase now allows to perform scans in reverse mode.

Actuate is a Hortonworks Technology Partner and founded and co-leads the BIRT open source project, which is used by more than 2.5 million developers around the globe and serves as the foundation of Actuate’s commercial offerings. Applications built with BIRT and BIRT iHub deliver more business and consumer insights to more people than all BI companies combined. 

The deployment of Big Data architectures has become more prevalent as organizations realize the power of what Big Data can bring to their businesses and to their profitability. …

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