Supported Hadoop Stack Continues Expansion

by Merv Adrian | December 24, 2015 | Comments Off on Supported Hadoop Stack Continues Expansion

For the past year and a half I’ve been tracking the path from 6 broadly supported (4 or more distributors) “Hadoop” projects in 2012 to 15 in June 2014, and now 17 in December 2015. Expansion continues. Clarity? Not so much. As I said in Now, What is Hadoop?:

You will find that you have to dig to find answers to the obvious question “If I pay for a support subscription, what will be supported?” “Support” in this analysis means if you pay for a subscription, that explicitly includes support for the named project.

The chart here is based on conversations with and/or web documentation from Amazon, Cloudera, Hortonworks, IBM, MapR, and Pivotal. Public documentation of distribution contents mostly remains incomplete, though IBM’s page does a good job.

So: what is “broadly supported” Hadoop in December 2015? The Apache Hadoop web site still names Hadoop Common, Hadoop Distributed File System(HDFS™), Hadoop YARN and Hadoop MapReduce, and gives them a common release number. I leave Common out and call that 3 projects.

Other projects supported by all the vendors include HBase, Hive, Oozie, Parquet, Pig, Spark, and Zookeeper – for a total of 10 projects supported by all.

(Spark has SQL, Streaming, graph, ML and time series libraries. Support varies; ask your vendor.)

Flume, Hue, Solr, and Sqoop are supported by 5. That gets us to 14 projects.

Avro, Kafka and Mahout have 4 supporters. And now we’re up to 17 projects.

What happens when we get beyond 4 supporters? We get to differentiation – places where the distributors are providing “their own” SQL interface, or security/governance stack, or management console. It’s not obvious, though, because many are not named “[distributor] ProjectX” but “Apache ProjectX.” More on that in the next post in this yearend series.

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Category: amazon amazon-web-services apache ambari avro flume hadoop hbase hdfs hive kafka mahout mapreduce oozie apache-parquet pig solr spark sqoop apache-yarn zookeeper cloudera data-and-analytics-strategies hortonworks hue industry-trends mapr open-source pivotal

Tags: apache flume hadoop hbase hdfs hive mapreduce oozie pig sqoop yarn zookeeper big-data-2 cloudera hortonworks ibm mapr open-source

Merv Adrian
Research VP
5 years with Gartner
38 years in IT industry

Merv Adrian is an analyst following database and adjacent technologies as extreme data transforms assumptions about what to persist as well as when, where and how. He also watches the way the software/hardware boundary… Read Full Bio

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