MapR Platform converges data streaming, operational, and analytic applications in a single cluster
MapR Technologies, Inc., provider of the industry’s only converged data platform, today announced it has been named a Visionary in the Gartner 2016 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics. The MapR Converged Data Platform enables customers to leverage a real-time, reliable analytics platform for global data-driven applications.
According to Gartner, “Organizations now require data management solutions for analytics that are capable of managing and processing internal and external data of diverse types in diverse formats, in combination with data from traditional internal sources. Data may even include interaction and observational data — from Internet of Things sensors, for example. This requirement is placing new demands on software in this market as customers are looking for features and functions that represent a significant augmentation of existing enterprise data warehouse strategies.”
The MapR Converged Data Platform supports the broadest set of applications and uses, including reliable and real-time applications that are featured in the MapR App Gallery. The MapR Platform integrates Hadoop and Spark, real-time database capabilities, and global event streaming with web-scale storage, for developing and running innovative data applications in a single cluster. The MapR Platform is powered by the industry’s fastest, most reliable, secure, and open data infrastructure that dramatically lowers TCO and enables global, real-time, data-driven applications.
In a recent webinar, Brad Anderson, vice president, big data informatics, Liaison Technologies commented, “Liaison selected the MapR data platform for several reasons, the first of which is it's an above and beyond enterprise grade distribution of Hadoop that gives you more production-hardened features. Business continuity and disaster recovery—are very important for our customers to be able to mirror data from one data center to the other so that they can have an active-active system. If one goes down from natural disaster, another one takes over immediately. The convergence of the building blocks that we needed-- files, streams, columnar tables, and JSON documents all in one system allows us to simplify our deployments in production.”
Addressing streaming, operational, and analytical use cases, the MapR Platform delivers a comprehensive set of technologies including SQL capabilities via Apache Drill and other SQL-on-Hadoop engines. MapR is comprised of several core components, including:
- Apache Hadoop – an open source framework for processing large volumes of data across many commodity servers, running on the utility-grade MapR Platform Services for a more powerful and protected production big data deployment
- Apache Spark – an increasingly popular open source in-memory data processing engine that enables faster application development and higher performance, with complete support from MapR for the entire stack
- MapR Streams - a global publish-subscribe event streaming system for big data
- MapR-DB - a high performance, in-Hadoop NoSQL database management system
- MapR-FS - the underlying POSIX file system that provides distributed, reliable, high performance, scalable, and full read/write web-scale data storage
“Developers are continually building new and exciting applications today. But unfortunately, many of these applications are deployed as standalone data silos,” said Steve Wooledge, vice president, product marketing, MapR Technologies. “That creates problems from a data management perspective in that someone has to stitch them together to make best use of your data. Instead, imagine having a converged system that provides interfaces for files, tables, and streams in one unified way where it's secured, it's managed, it's highly available, it's completely distributed, and you get the best-of-breed technologies that let you address your business needs. That's the future we're creating at MapR, to bring all that together in one converged data platform.”
Gartner Research Document: Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, Roxane Edjlali and Mark A. Beyer, 25 February 2016.