MapR Positioned a Visionary in Gartner 2016 Magic Quadrant

SAN JOSE, CA: MapR, a provider of computer software, announces that it has been named a visionary in the Gartner 2016 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics.

Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers.

MapR has been named a visionary under the Gartner Magic Quadrant. According to the Gartner Magic Quadrant, visionaries are defined as players that understand where the market is going or have a vision for changing market rules, but do not yet execute well.

The MapR converged data platform enables customers to leverage a real time reliable analytics platform for global data-driven application. It supports a wide set of applications which 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 data applications in a single cluster. The MapR Platform is powered by a secure open data infrastructure that dramatically lowers TCO and enables global, real-time, data-driven applications.

The MapR platform addresses streaming, operational,and analytical use cases, by delivering 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

Apache Hadoop Is 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

Apache Spark is 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

 Is a global publish-subscribe event streaming system for big data

MapR-DB

MapR-DB is a high performance, in-Hadoop NoSQL database management system

MapR-FS

MapR-FS is the underlying POSIX file system that provides distributed, reliable, high performance, scalable, and full read/write web-scale data storage.

The remaining three types of technology providers under the Gartner Magic Quadrant are:

Leaders

 These players execute well against their current vision and are well positioned for tomorrow.

Niche Players

 These players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others.

Challengers

These players execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction.

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.”