MapR 5.0 Makes Its Debut at Hadoop Summit
MapR Technologies introduced version 5.0 of its Hadoop distribution at the Hadoop Summit 2015.MapR Technologies, which provides a popular Apache Hadoop distribution, announced version 5.0 of its MapR Distribution. Introduced at the Hadoop Summit, the latest MapR release auto-synchronizes storage, database and search indices to support real-time applications. MapR 5.0 also includes comprehensive security auditing, Apache Drill support, and the latest Hadoop 2.7 and YARN features. "With the newest release of the MapR Distribution, we continue to lead the market in delivering reliable and real-time Hadoop to the enterprise," said Anil Gadre, senior vice president of product management at MapR, in a statement. "We help enable the 'as-it-happens' business where organizations can shorten their data-to-action cycle. Our product is deployed at customer sites and industries that are highly regulated due to their use of sensitive data, which proves that MapR is architected for enterprise-grade security requirements." Jack Norris, chief marketing officer at MapR, said MapR 5.0 is architected for processing big and fast data on a single data platform that enables a new class of real-time applications. Enterprises are increasingly deploying multiple applications on a single Hadoop cluster, he said. In fact, 18 percent of MapR customers are deploying over 50 separate applications on a single cluster.
"Designed as a large-scale batch data analysis system, Hadoop is not often associated with operational analytics or transaction processing," said Carl W. Olofson, research vice president, data management software research at IDC, in a statement. "Hadoop adds tremendous value for decision management at the strategic and operational levels, but still is emerging as a framework for making tactical decisions 'in the moment.' With Hadoop innovations—such as those in MapR 5.0–happening every day, enterprises should consider using Hadoop as a 'Decision Data Platform' that functions as a single platform for handling both live operational data and real-time analytics."