MapR unveils new MapR Distribution which features Hadoop 2.2 with YARN. The company specializes in Apache Hadoop technology for Big Data deployments.
The YARN feature will upgrade resource management within a MapR cluster as it synergizes flexible resource management and the real-time capability of MapR’s data platform making the solution highly reliable.
Evan Quinn, research director, Enterprise Management Associates, remarked, “YARN opens up Hadoop for processing patterns beyond just MapReduce. MapR’s Hadoop distribution extends YARN even further by adding a full, open standard NFS interface in addition to HDFS, enabling non-MapReduce applications to optimally take advantage of a cluster’s storage.”
Also the resource management and scheduling features of YARN permits the sharing of a cluster’s compute resources by Hadoop applications. In addition to enhancing the efficiency it also increases the utilization of the cluster.
The YARN with MapR’s read-write (R/W) POSIX data platform combination lets YARN-based applications to run on a Hadoop cluster allowing reading, writing and updating of data in a distributed file system and database tables. This allows organizations to develop and deploy more Big Data Hadoop applications.
MapR lets organizations run the Hadoop MapReduce 1.x and YARN schedulers at the same time on the same nodes in a cluster enabling MapReduce 1.x users to upgrade to the new Hadoop scheduler easily ensuring backward compatibility. MapR also allows third-party services to be run although they are not YARN-compatible.
Tomer Shiran, vice president of product management, MapR Technologies, said, “As YARN expands Hadoop use cases in the enterprise, the need for enterprise-grade dependability, interoperability and performance increases exponentially.”
MapR offers support to open source projects of any Hadoop-powered distribution. The MapR Distribution open source projects include Apache projects Hive, Pig, Solr, Oozie, Flume, Sqoop, HBase, and ZooKeeper, besides Apache-licensed open source projects like Multitool, Hue, Impala, and Cascading, added officials.
The company also announced the release of the new HP Vertica analytics platform on MapR. This high-performance, interactive SQL-on-Hadoop solution tightly integrates HP Vertica’s high-performance analytic platform directly on MapR’s enterprise-grade distribution for Hadoop. It provides 100 percent ANSI SQL-compliance, with advanced interactive analytic capabilities, and deep business intelligence (BI) and ETL tool support to improve analyst productivity through expanded exploration of semi-structured data as well as traditional structured data.