The Hortonworks Blog

We reached a significant milestone in HDFS: the Namenode HA branch was merged into the trunk. With this merge, HDFS trunk now supports HOT failover.

Significant enhancements were completed to make HOT Failover work:

  • Configuration changes for HA
  • Notion of active and standby states were added to the Namenode
  • Client-side redirection
  • Standby processing journal from Active
  • Dual block reports to Active and Standby

We have extensively tested HOT manual failover in our labs over the last few months.…

Today we announced an important strategic partnership with Talend, provider of the world’s most popular open source data integration platform. This is another win for both Hortonworks customers and the larger Apache Hadoop community. There were two key aspects of the announcement that I wanted to highlight:

Talend releases Talend Open Studio for Big Data

Based upon Talend’s very popular open source data integration platform, Talend Open Studio for Big Data adds connectors for HDFS, HBase, Pig, Sqoop and Hive.…

Today we announced  that we were delivering on our earlier promise to help Microsoft bring Apache Hadoop to Windows. I’m pleased to share that Microsoft, with our collaboration and guidance, has now submitted a series of patches to Apache aimed at overcoming the challenges of running Apache Hadoop in Windows Server environments.

These patches, once vetted and approved by the community, will become part of the core Hadoop code base. They will also become available in the two major Apache Hadoop branches: hadoop-1.0 (the current stable branch, which is available as part of Hortonworks Data Platform v1.0) and hadoop-0.23 (the next generation of Apache Hadoop, which will be available as part of Hortonworks Data Platform v2.0).…

A very short while ago, Vinod blogged about some of the significant improvements in Hadoop.Next (a.k.a hadoop-0.23.1).

To recap, the Hortonworks and Yahoo! teams have done a huge amount of work to test, validate and benchmark Hadoop.Next, the next generation of Apache Hadoop that includes HDFS Federation, NextGen MapReduce (a.k.a. YARN) and many other significant features and performance improvements.

Today, I’m very excited to announce that the Apache Hadoop community voted to release hadoop-0.23.1 and it’s now available for all to use!…

Hortonworks and Teradata announced a strategic relationship today that includes joint go-to-market and development work to more closely integrate Hortonworks Data Platform with the Teradata Analytical Ecosystem. I wanted to take the opportunity to highlight this important partnership and share my thoughts on why this is an important milestone for Hortonworks and the larger Apache Hadoop community.

As somebody that has been heavily involved in the development of Apache Hadoop for six years and counting, it’s personally exciting to see Hadoop entering a new phase of adoption.…

I’ve been surprised by a couple of recent articles highlighting our recent leadership change.  These articles imply that our business model may be changing. Let me be clear, WE ARE NOT CHANGING OUR BUSINESS MODEL. We are committed to providing training and support of a 100% open source distribution of Apache Hadoop and related projects.

What has changed?

Rob Bearden has agreed to take on the role of CEO. I am moving from CEO to the role of CTO.…

One of the common themes that we hear from customers, partners, industry analysts and others in the community is that there is massive need for Apache Hadoop education. The demand for trained and certified Hadoop professionals far exceeds the current supply and this knowledge gap is threatening to slow the rapid adoption of Hadoop. To address this challenge, Hortonworks is pleased to announce Hortonworks University.

Hortonworks University consists of public, private on-site and live online courses for both developers and administrators.…

Hadoop RPC is the primary communication mechanism between the nodes in an Apache Hadoop cluster. Maintaining wire compatibility, as new features are added to Apache Hadoop, has been a significant challenge with the current RPC architecture. In this blog, I highlight the architectural improvement in Hadoop RPC and how it enables wire compatibility and rolling upgrades.

Challenges for Wire Compatibility

Earlier Hadoop RPC used Writable serialization that made it difficult to evolve the protocols while maintaining wire compatibility.…

For those of you new to Apache ZooKeeper, it is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. To learn more about ZooKeeper, please visit the Apache ZooKeeper homepage.

As part of stabilizing Apache ZooKeeper 3.4 branch, ZooKeeper 3.4.3 has just been released. It is a bug fix release on the 3.4 branch and fixes 17 issues out of which 1 is very critical and can cause data inconsistency (ZOOKEEPER-1367).…

In our previous blogs and webinars we have discussed the significant improvements and architectural changes coming to Apache Hadoop .Next (0.23). To recap, the major ones are:

  • Federation for Scaling HDFS – HDFS has undergone a transformation to separate Namespace management from the Block (storage) management to allow for significant scaling of the filesystem. In previous architectures, they were intertwined in the NameNode.
  • NextGen MapReduce (aka YARN) – MapReduce has undergone a complete overhaul in hadoop-0.23, including a fundamental change to split up the major functionalities of the JobTracker, resource management and job scheduling/monitoring into separate daemons.

I recently joined Hortonworks as VP of Corporate Strategy, and I wanted to share my thoughts as to what attracted me to Hortonworks.

For me, it’s important to 1) work with a top-notch team and 2) focus on unique market-changing business opportunities.

Hortonworks has a strong team of technical founders (Eric14, Alan, Arun, Deveraj, Mahadev, Owen, Sanjay, and Suresh) doing impressive work within the Apache Hadoop community. Hortonworks also has an impressive Board of Directors that includes folks like Peter Fenton, Mike Volpi, Jay Rossiter, Rob Bearden, as well as our most recent board member Paul Cormier (Red Hat’s President of Products and Technology).…

I am pleased to report that Hortonworks has been named a leader in the recently released Forrester Wave report on Enterprise Hadoop Solutions. We scored well across all three rating areas: current offering, market presence and strategy.

We appreciate the recognition, particularly this sentence that highlighted our role in the marketplace: ”(Hortonworks) is the technology leader and ecosystem building for the entire Hadoop industry and has recently released its Hortonworks Data Platform, which incorporates purely open-source Apache Hadoop software.”

Being named a Leader in the Forrester Wave on Enterprise Hadoop Solutions is one of many achievements for Hortonworks over the past seven months (stay tuned for a blog on this topic).…

I am pleased to announce that Paul Cormier has joined the Hortonworks Board of Directors. Paul is currently President, Products and Technologies at Red Hat, where he leads the company’s engineering and products business units. Paul has an exceptional background in building enterprise-class open source software. He also has helped Red Hat achieve tremendous revenue growth by enabling a rich ecosystem of partners. We are pleased to add such a talented and experienced open source professional to our board.…

Hi Folks,

I’m happy to report that Hadoop Summit will be back for it’s 5th year. This year, Hortonworks and Yahoo are jointly hosting the conference, which will take place on June 13th and 14th at the San Jose Convention Center.

This year’s event promises to be bigger and better than ever. We have extended the conference to a second day, added additional session tracks and expect to showcase even more compelling and useful presentations.…

Today we announced our plans to release a public preview of the Hortonworks Data Platform (HDP) version 2. HDP v2 will leverage Apache Hadoop 0.23, which is the first major update to Hadoop in more than three years. Among other advancements, HDP v2 will include the NextGen MapReduce architecture, HDFS NameNode HA and HDFS Federation. It will also include the most up-to-date stable components including HCatalog, HBase, Hive and Pig; all fully integrated and tested at scale.…

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