There are now 15 projects supported by all 5 distributors I track, and several have had new releases since April. Kafka is the newest addition, and I believe the remaining 4-supporter offerings, Mahout and Hue, will remain unsupported by IBM, who has its own alternatives. –More–
Tag Archives: MapReduce
Hadoop Apache Project Commercial Support Tracker April 2016
There are now 19 commonly supported projects: Avro, Flume and Solr join the group supported by all 5 distributors and other changes appear as well. For this version of the tracker (last updated in December), I’ve made one sizable change: Pivotal has been dropped as a “leading distributor,” dropping the number to five. Pivotal relies on Hortonworks’ distro (asContinue reading “Hadoop Apache Project Commercial Support Tracker April 2016”
Strata Standards Stories: Different Stores For Different Chores
Has HDFS joined MapReduce in the emerging “legacy Hadoop project” category, continuing the swap-out of components that formerly answered the question “what is Hadoop?” Stores for data were certainly a focus at Strata/Hadoop World in NY, O’Reilly’s well-run, well-attended, and always impactful fall event. The limitations of HDFS, including its append-only nature, have become inconvenient enough toContinue reading “Strata Standards Stories: Different Stores For Different Chores”
Hadoop Projects Supported By Only One Distribution
The Apache Software Foundation has succeeded admirably in becoming a place where new software ideas are developed: today over 350 projects are underway. The challenges for the Hadoop user are twofold: trying to decide which projects might be useful in big data-related cases, and determining which are supported by commercial distributors. In Now, What is Hadoop? And What’s Supported? I list 10 supportedContinue reading “Hadoop Projects Supported By Only One Distribution”
Now, What is Hadoop?
This perennial question resurfaced recently in a thoughtful blog post by Andreas Neumann, Chief Architect of Cask, called What is Hadoop, anyway?. Ultimately, after a careful deconstruction of the terms in the question, Andreas concludes with “Does it really matter to agree on the answer to that question? In the end, everybody who builds an application or solutionContinue reading “Now, What is Hadoop?”
Hadoop Questions from Recent Webinar Span Spectrum
This is a joint post authored with Nick Heudecker There were many questions asked after the last quarterly Hadoop webinar, and Nick and I have picked a few that were asked several times to respond to here. –More on my Gartner blog—
Which SQL on Hadoop? Poll Still Says “Whatever” But DBMS Providers Gain
Since Nick Heudecker and I began our quarterly Hadoop webinars, we have asked our audiences what they expected to do about SQL several times, first in January 2014. With 164 respondents in that survey, 32% said “we’ll use what our existing BI tool provider gives us,” reflecting the fact that most adopters seem not to wantContinue reading “Which SQL on Hadoop? Poll Still Says “Whatever” But DBMS Providers Gain”
Strata Spark Tsunami – Hadoop World, Part One
New York’s Javits Center is a cavernous triumph of form over function. Giant empty spaces were everywhere at this year’s empty-though-sold-out Strata/Hadoop World, but the strangely-numbered, hard to find, typically inadequately-sized rooms were packed. Some redesign will be needed next year, because the event was huge in impact and demand will only grow. A few ofContinue reading “Strata Spark Tsunami – Hadoop World, Part One”
Hadoop Is A Recursive Acronym
Hopefully, that title got your attention. A recursive acronym – the term first appeared in the book Gödel, Escher, Bach: An Eternal Golden Braid and is likely more familiar to tech folks who know Gnu – is self-referential (as in “Gnu’s not Unix.”) So how did I conclude Hadoop, whose name origin we know, fits the definition?Continue reading “Hadoop Is A Recursive Acronym”
What Is Hadoop….Now?
In February 2012, Gartner published How to Choose The Right Apache Hadoop Distribution (available to clients). At the time, the leading distributors were Cloudera, EMC (now Pivotal), Hortonworks (pre-GA), IBM, and MapR. These players all supported six Apache projects: HDFS, MapReduce, Pig, Hive, HBase, and Zookeeper. Things have changed. –more–