Cloudera: All content tagged as Cloudera in NoSQL databases and polyglot persistence
Eric Baldeschweiler in a recent briefing—transcript by Bert Latamore over Wikibon:
We’re really committed to building out Apache Hadoop and doing it in the Open Source community, so what really differentiates us is being really committed, besides shipping 100% pure Apache Hadoop code, which nobody else does, to taking a very partnering ecosystem-centric approach.[…] We’re the only ones committed to shipping Apache Hadoop code. We’ve been the drivers behind every major release of Apache Hadoop since its inception. Other companies are packaging and distributing Hadoop, but when they do that they add lots of their own custom stuff, both as patches to the Apache Hadoop distribution and also as independent products. A lot of that work is going into Apache, and since we committed to the Open Source model we’ve seen a lot more third party code going into Apache, which is obviously a win for the community. But to date no other company is actually taking releases from Apache & supporting them. They create their own versions that are slightly different from what comes from Apache, and try to build a business around that.
The political message from both Cloudera and Hortonworks is “we compete as businesses, but collaborate for the good of Hadoop“. But behind the curtains, they both prepare the big guns.
Original title and link: Hadoop Market: Hortonworks’ Positioning ( ©myNoSQL)
Hortonworks Data Platform, powered by Apache Hadoop — As we began to interact with enterprises and ecosystem partners, the one constant was the need for a base distribution of Apache Hadoop that is 100% open source and that contains the essential components used with every Hadoop installation. A distribution was needed to provide an easy to install, tightly integrated and well tested set of servers and tools. As we interacted with potential partners, we also heard the message loud and clear that they wanted open and secure APIs to easily integrate and extend Hadoop. We believe we have succeeded on both fronts. The Hortonworks Data Platform is such an open source distribution. It is powered by Apache Hadoop and includes the essential Hadoop components, plus some that make it more manageable, open and extensible. Our distribution is based on Hadoop 0.20.205, the first Apache Hadoop release that supports security and HBase. It also includes some new APIs, such as WebHDFS and those in Ambari and HCatalog, which will make it easy for our partners to integrate their products with Apache Hadoop. For those new to Ambari, it is an open source Apache project that will bring improved installation and management to Hadoop. HCatalog is a metadata management service for simplifying the sharing of data between Hadoop and other data systems. We are releasing Hortonworks Data Platform initially as a limited technology preview with plans to open it up to the public in early 2012.
The fight is on–even if for now the tone is still polite. And if we are adding to the mix MapR and LexisNexis’ HPCC, not to mention the armies of marketers and sales coming from Oracle, IBM, EMC, NetApp, etc. this actually smells like war.
Edward Ribeiro apty commented: “This reminds me of Linux distros war circa 2001”.
The emphasis in the text is mine to underline the most important aspects of the announcement. ↩
Original title and link: Hortonworks Data Platform: Hortonworks’ Hadoop Distribution ( ©myNoSQL)
This is ugly and should never happen to an open source project.
Still Joe Brockmeier (RWW) describes this as a superb win-win situation:
It might seem unhealthy for companies to be clamoring for credit in open source projects, but it’s a sign of health for projects. If companies position themselves to be top contributors, and care about their standing, the projects win. Users win too. Developers in the ecosystem also win – since it’s far easier to hire existing contributors than trying to push outsiders in to a project.
But there’s just a minor thing missing. Who gets the cheese?
Original title and link: Mine Is Bigger Than Yours: Hadoop Code Contributions ( ©myNoSQL)
In the series of big announcements coming out this month, Cloudera and Revolution Analytics, the enterprise provider of R software, have announced their partnership to integrate Cloudera’s Hadoop distribution with Revolution R Enterprise platform thus offering R developers direct access to Hadoop data stores and the possibility to write MapReduce jobs directly in R.
The integration packages, named RevoConnectR for Apache Hadoop, are already available freely on GitHub and they will also get commercial support with Revolution R Enterprise 5.0 Server for Linux.
You can read more about this announcement on:
Original title and link: R and Hadoop: Revolution Analytics and Cloudera Partnership Announced ( ©myNoSQL)