Hadoop distribution company MapR has reached its 4.0.1 version. The new version works better for real-time data use cases in operational applications, interactive queries, and stream processing with new versions of Apache Drill, Apache Spark, and Apache HBase — all using Hadoop 2.4, including YARN.
"Hadoop is generating increasing interest for use in business-critical applications that rely upon low latency and consistency," said Donnie Berkholz, an analyst with RedMonk. "This latest release from MapR targets these needs with improved support for real-time processing through the incorporation of new tools as well as new releases of existing ones."
"Organizations can now maximize business impact and minimize risk by running operational applications along with real-time analytics on Hadoop," said Tomer Shiran, vice president of product management, MapR Technologies. "MapR continues to lead the market by integrating the latest open source components into a mission critical, multi-tenant platform with self-healing high availability (HA), disaster recovery (DR), and data protection capabilities."
MapR says it provides flexibility to pick the right tool for the job with an unbiased set of open source software on Hadoop. The latest MapR Distribution including Hadoop now contains: multiple batch processing frameworks including MapReduce 1.x and 2.x (YARN-based), and Spark (0.9, 1.0.2); five SQL-on-Hadoop technologies: Hive (0.11, 0.12, 0.13), Drill (0.5), SparkSQL (1.0.2), Impala (1.3.1) and certified integration with HP-Vertica — and two NoSQL technologies: HBase (0.94.21, 0.98.4), MapR-DB.