EMC Adds MapR Features To Greenplum Data Analytics
The Big Data specialist will be a key part of EMC’s Greenplum HD Enterprise Edition, based on Apache Hadoop
Little MapR Technologies has made a software licensing agreement with data storage and security giant EMC to add its intellectual property to EMC’s new Apache Hadoop analytics distribution.
MapR will become a key part of EMC’s Greenplum HD Enterprise Edition, a 100 percent interface-compatible implementation of the Apache Hadoop software stack. The new appliance will use MapR Technologies’ clustering IP for the pre-integrated and tested distribution.
Scaling The Heights Of Big Data Demands
Apache Hadoop, created by former Apple, Xerox PARC and Yahoo developer Doug Cutting, is an open-source software framework built in Java that works with distributed data-intensive applications. It enables applications to scale securely in order to handle thousands of nodes and petabytes of data.
Although a number of Hadoop distributions are available, they do not all deal with issues such as single points of failure, lack of snapshots and mirroring, and poor performance — which is what MapR brings to the table.
CEO John Schroeder gave eWEEK an overview of MapR’s feature set. It includes:
- NFS direct access, which allows users to use the NFS protocol to simply load and access data directly in a Hadoop cluster and enables standard tools and utilities to work directly on data contained in Hadoop.
- Heatmap user interface to provide full cluster visibility and control.
- All single points of failure are eliminated in the Hadoop stack.
- JobTracker High Availability ensures continuous job execution.
- Distributed NameNode with High Availability addresses major reliability issue while also improving performance and scale.
- Snapshots allow point-in-time data protection and recovery.
- Mirroring for business continuity includes wide area replication support.
“This is a major advancement for Hadoop users everywhere. MapR’s innovations coupled with EMC’s big data analytics capabilities and service will allow more people to use the power of big data analytics and enable substantial market growth,” said John Webster, Senior Analyst at Evaluator Group. “MapR has managed to innovate on performance, cost reduction, dependability and ease-of-use all at once. This marks a major shift for the Hadoop market.”
Now at Cloudera and serving as chairman of the Apache Software Foundation, Cutting has said that Hadoop was inspired by Google’s MapReduce (which handles clustering of a system’s nodes) and Google File System. MapR is the commercial implementation of the open source MapReduce.
Hadoop, which is named after Cutting’s son’s toy elephant, is being maintained and improved by a large global community of contributors. Yahoo, one of the first movers in Hadoop and which now sponsors a Hadoop developers’ conference, has been the largest contributor to the project and uses Hadoop extensively across its own businesses.
“Hadoop has played a leading role in the transformation from traditional data warehousing to Big Data analytics,” Webster said. “EMC’s Hadoop commercialisation strategy is aimed at streamlining and bulletproofing Hadoop for enterprise users, making Hadoop more of a must-have real-time analytics tool for the enterprise.”