Announcements

The latest product news and company announcements from Hortonworks

Typical delivery of enterprise software involves a very controlled date with a secret roadmap designed to wow prospects, customers, press and analysts…or at least that is the way it usually works.  Open source, however, changes this equation.

As described here, the vision for extending Hadoop beyond its batch-only roots in support of interactive and real-time workloads was set by Arun Murthy back in 2008. The initiation of YARN, the key technology for enabling this vision, started in earnest in 2011, was declared GA by the community in the recent Apache Hadoop 2.2 release, and is now delivered for mainstream enterprises and the broader commercial ecosystem with the release of Hortonworks Data Platform 2.0.…

I’m thrilled to note that the Apache Hadoop community has declared Apache Hadoop 2.x as Generally Available with the release of hadoop-2.2.0!

This represents the realization of a massive effort by the entire Apache Hadoop community which started nearly 4 years to date, and we’re sure you’ll agree it’s cause for a big celebration. Equally, it’s a great credit to the Apache Software Foundation which provides an environment where contributors from various places and organizations can collaborate to achieve a goal which is as significant as Apache Hadoop v2.…

Hortonworks will be making a preview of Apache Storm integration available in Q4 of this year and will be including Apache Storm in the Hortonworks Data Platform in first half of 2014.

Any time now, the Apache Hadoop community will declare the General Availability of Hadoop 2.0 which includes the much anticipated Apache Hadoop YARN.  The YARN-based architecture of Hadoop 2 is the most significant change to Hadoop introduced in the past six years and enables Hadoop to expand from a single-purpose, batch-oriented data platform based on MapReduce into a truly multi-purpose platform supporting a wide range of data processing approaches.…

A crucial requirement of any enterprise technology is to ensure simplest possible management and operation. We think that simplicity means two things: 1) integration with existing infrastructure and tools and 2) leveraging existing knowledge and skills.

Download the beta release of Ambari SCOM Management Pack here.

Ambari (http://incubator.apache.org/ambari/) was introduced as an Apache incubator project with the aim of developing the best management tool for Hadoop applying our principles of open source community development for rapid innovation and solving the right problems for enterprises.…

In March of 2013 we announced our plans to enter the European market and just six months we have not only landed but also are expanding and operating across Europe with field teams in UK, France and Germany.  Those teams are growing and, more importantly, our customer base is expanding.

What would expansion be without customers?

European customers are actively looking for solutions that enable the processing and analysis of large quantities of data, and Apache Hadoop is meeting those needs.  …

If you are an enterprise, chances are you use SAP.  And you are also more than likely using – or planning to use – Hadoop in your data architecture.

Today, we are delighted to announce the next step in our strategic relationship with SAP as they announce a reseller agreement with Hortonworks.  Under this agreement, SAP will resell Hortonworks Data Platform and provide enterprise support for their global customer base.  This will enable SAP customers to implement a data architecture that includes SAP HANA and the Hortonworks Data Platform and in so doing leverage existing skills to take advantage of the massive scalability and performance offered by Apache Hadoop.…

Another week, another release…  Following the release of Apache Hadoop 2.0 beta last week, we are excited to release the beta of Hortonworks Data Platform 2.0, the first commercial release of the stable YARN API and protocols on which new applications can now be built.

For our customers this is a great opportunity to ensure the release meets expectations and provides a vehicle to voice feedback that will work to improve Hadoop and shape its roadmap. …

It’s my great pleasure to announce that the Apache Hadoop community has declared Hadoop 2.x as Beta with the vote closing over the weekend for the hadoop-2.1.0-beta release.

As noted in the announcement to the mailing lists, this is a significant milestone across multiple dimensions: not only is the release chock-full of significant features (see below), it also represents a very stable set of APIs and protocols on which we can continue to build for the future.…

Today we are delighted to announce the release of Hortonworks Data Platform v1.3 for Windows. With this release, our HDP distributions for Hadoop have reached parity enabling seamless application portability across Linux and Windows platforms.

Hadoop represents the future of the enterprise data platform and we have made it our mission to deliver Hadoop as far and wide as possible: from Linux to Windows, from the Enterprise Data Center to the cloud and we’re very proud of this latest product release as we deliver on that mission.…

Implementing and integrating Hadoop  to complement existing EDW, RDBMS and Discovery Systems is all part of realizing a Modern Data Architecture for a business which unlocks the opportunities that big data provides for new insight and competitive edge.

That is why we were excited to take part in Cisco and NetApp’s joint announcement of their FlexPod Portfolio because it brings new engineered offerings to the market for enterprises looking to take advantage of Hadoop.…

I’d like to share some thoughts on the recent news that Eric Baldeschwieler has decided to leave Hortonworks. I’d like to start off first by thanking Eric for his contributions to the Hadoop community since its inception over 7 years ago, and I’d like to express my personal appreciation for his help in getting Hortonworks off the ground.

It’s hard to believe it’s been over two years since Hortonworks was founded by over 20 engineers from the original Yahoo!…

Last week, we published a blog about the Hadoop job marketing and evolving your SQL skills to Hadoop. To help you with that evolution, we’re delighted to offer you some special pricing on training. What better way to stay cool this summer than to be in a nice air-conditioned classroom?

  • Looking for a class in the US?  Hortonworks – here’s 25% for any class offered by Hortonworks in August. Use this discount code: TCAMSUMMR25
  • Do you want to take a class in the UK?

Four years ago, Arun Murthy entered a JIRA ticket (MAPREDUCE -279) that outlined a re-architecture of the original MapReduce.  In the ticket, he outlined a set of capabilities that allowed processes to better share resources and an architecture that would allow Hadoop to extend beyond batch data processing.

It turned out that this ticket was prescient of true enterprise requirements for Hadoop. As enterprise adoption accelerated, it became even clearer that multiple processing models – moving beyond batch – was critical for Hadoop to broaden its applicability for mainstream usage in the modern enterprise architecture.…

We are delighted to announce a new round of funding led by new investors Tenaya Capital and Dragoneer Investment Group, with participation from our existing investors Benchmark Capital, Index Ventures and Yahoo!.

I could not be more excited about the opportunity in front of us.  The market reception of our business model and strategy of ensuring 100% open source Apache Hadoop becomes an enterprise viable data platform is resonating strongly with the market.…

Over the past year, customers have told us they want to store all their data in one place and interact with it in multiple ways… they want to use Hadoop, but in order to do so, it needs to extend beyond batch.  It also needs to be interactive and real-time (among others).

This is the entire principle behind YARN, which together with others in the community, Arun Murthy and the team at Hortonworks have been working on for more than 5 years! …

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