Auto-synchronizes storage, database, and search within and across data centres
MapR Technologies unveiled extension in real-time Hadoop, security, and self-service data exploration and agility That will be available in 30 days, at Hadoop Summit version 5.0 of the MapR Distribution.
MapR 5.0 is architected for processing big data on a single data platform that enables a new class of real-time applications.The latest MapR release auto synchronizes storage, database, and search indices to support complex, real-time applications to increase revenue, reduce operational costs, and mitigate risk. MapR 5.0also includes comprehensive security auditing, Apache Drill support, and the latest Hadoop 2.7 and YARN features.
The MapR Distribution including Hadoop, version 5.0 feature include extention to the MapR Real-time, Reliable Data Transport framework, used in the MapR-DB Table Replication capability, to deliver and synchronize data in real time to external compute engines. Adds Hadoop 2.7 including YARN 2.7 support to enable new features like YARN application rolling upgrades to complement the platform-level rolling upgrades. Enhances MapR industry-leading data governance and security
Comprehensive auditing for all data accesses via log files in JSON format, enabling extensive reporting and validation and quick analysis with Apache Drill.
Support for Drill 1.x, including Drill Views. This delivers secure access to field-level data in files to ensure only authorized data can be analyzed by specific analysts.
“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, MapR Technologies. “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.”
“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, IDC. “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.”
