by Merv Adrian | March 9, 2013 | 22 Comments
I don’t often do a pure opinion piece but I feel compelled to weigh in on a queston I’ve been asked several times since EMC released its Pivotal HD recently. The question is whether it is somehow inappropriate, even “evil,” for EMC to enter the market without having “enough” committers to open source Apache projects. [...]
Category: Apache Big Data Cassandra EMC Hadoop Lucene MapR open source Tags: Apache, big data, Cassandra, EMC, Hadoop, MapR, OSS
by Merv Adrian | March 8, 2013 | 1 Comment
The first three posts in this series talked about performance, projects and platforms as key themes in what is beginning to feel like a watershed year for Hadoop. All three are reflected in the surprising emergence of a number of new players on the scene, as well as some new offerings from additional ones, which I’ll cover in [...]
Category: Amazon Apache Big Data Gartner Hadoop Hbase HDFS Lucene MapR MapReduce Tags: Apache, DBMS, DDN, EMC, Gartner, HANA, Hbase, HDFS, Hortonworks, HP, HPC, IBM, Intel, Lustre, MapR, MapReduce, MarkLogic, Pentaho, S3, SAP, SAS, Talend, VMware, WANdisco
by Merv Adrian | February 23, 2013 | 4 Comments
In the first two posts in this series, I talked about performance and projects as key themes in Hadoop’s watershed year. As it moves squarely into the mainstream, organizations making their first move to experiment will have to make a choice of platform. And – arguably for the first time in the early mainstreaming of an information [...]
Category: Amazon Apache Aster Big Data BigInsights Cisco Cloudera data warehouse appliance Elastic MapReduce EMC Gartner graph databases Hadoop HP IBM MapReduce NetApp Oracle Teradata Yarc Tags: Amazon, Apache, Aster, big data, Cisco, Cloudera, Elastic MapReduce, EMC, EMR, graph database, Hadoop, HP, IBM, MapReduce, NetApp, Oracle, Teradata, Yarc
by Merv Adrian | February 21, 2013 | 1 Comment
In Part One of this series, I pointed out that how significant attention is being lavished on performance in 2013. In this installment, the topic is projects, which are proliferating precipitously. One of my most frequent client inquiries is “which of these pieces make Hadoop?” As recently as a year ago, the question was pretty simple for [...]
Category: Accumulo Ambari Apache Apache Drill Apache Yarn BigInsights Cassandra Cloudera Dataguise EMC Gartner Giraph graph databases Hadapt Hadoop Hbase HCatalog HDFS Hive Hortonworks Hstreaming IBM InfoSphere Lucense MapReduce Mshout Oozie open source Pig Rainstor Serengeti Solr SQLstream Sqoop VMware Zookeeper Tags: Apache, BigInsights, Cassandra, Cloudera, Flume, Hadapt, Hadoop, Hbase, HDFS, Hive, Hortonworks, Hstreaming, IBM, InfoSphere, MapR, MapReduce, Oozie, Pig, SQLStream, Sqoop, zookeeper
by Merv Adrian | January 30, 2013 | 8 Comments
2013 promises to be a banner year for Apache Hadoop, platform providers, related technologies – and analysts who try to sort it out. I’ve been wrestling with ways to make sense of it for Gartner clients bewildered by a new set of choices, and for them and myself, I’ve built a stack diagram that describes [...]
Category: Apache Big Data Cloudera data integration Hadoop Hbase HDFS Hortonworks MapReduce open source OSS Sqoop Tags: Apache, Cassandra, Cloudera, Datastax, Flume, Hadapt, Hadoop, Hbase, HDFS, Hive, Hortonworks, Hstreaming, Karmasphere, MapR, MapReduce, Oozie, open source, OSS, Pig, Sqoop, zookeeper
by Merv Adrian | January 23, 2012 | Comments Off
In early January 2012, the world of big data was treated to an interesting series of product releases, press announcements, and blog posts about Hadoop versions. To begin with, we had the announcement of Apache version 1.0 at long last, in a press release. Although there were grumblings here and there in the twittersphere that [...]
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Category: Apache Big Data Cloudera Hadoop Hbase HDFS Hortonworks IBM MapReduce NetApp open source Sqoop Tags: Apache Software Foundation, ASF, Aster, Avro, CDH, Cloudera, Datastax, EMC, Greenplum, Hadoop, Hbase, Hive, Hortonworks, IBM, Mahout, MapReduce, NetApp, open source, Pig, Sqoop, Teradata
