MapR Fast Facts
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MapR provides the industry's next generation Data Platform for AI and analytics that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data.
|Executive Leadership||John Schroeder, CEO|
|Number of Employees||450+|
|Headquarters||Santa Clara, California|
|Sales Offices||United States, United Kingdom, France, Germany, Sweden, Netherlands, Japan, Korea, Australia, Singapore, India|
|Product||The MapR Data Platform is an all-software data platform for AI and analytics that runs on commodity hardware across on-premises, cloud, and edge deployments. MapR users store, manage, process, and analyze all kinds of data with mission-critical reliability while meeting production SLAs. Unique to MapR is a core set of data services designed to ensure exabyte scale and high performance while providing unmatched data protection, disaster recovery, security, and management services for disparate data types, including files, objects, tables, events, and more. Open APIs and support for containerization ensure broad distributed application access and seamless portability of applications across disparate environments.
MapR includes a wide variety of analytics and open source tools such as Apache Hadoop, Apache Spark, Apache Drill, Apache Hive, and more. Additionally, support for POSIX allows cutting-edge AI and ML tools like new Python ML libraries to run on the same MapR cluster as your analytics.
|MapR supports open APIs like HDFS, S3, HBase, JSON, Kafka, and more. Unlike HDFS-based platforms, MapR also supports POSIX, which allows legacy applications, web servers, and other clients to read and write data directly to the MapR Data Platform.
With the MapR Ecosystem Pack (MEP), MapR supports a wide variety of open source tools including Hadoop, Spark, Drill, Hive, and more. Additionally, support for POSIX allows cutting-edge AI and ML tools like new Python ML libraries to run on the same cluster as your analytics.
|Deployment Options||The MapR Data Platform can be deployed on-premises, in the cloud, at the edge, or all of the above at the same time. By mirroring and replicating data between these disparate environments, MapR is your only data platform in an increasingly containerized, hybrid, and multi-cloud world.|
|Go to Market||Enterprise sales (direct and channel), OEM, and public cloud|
|Customers||Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR.
Customers include American Express, Anadarko, Boehringer Ingelheim, Cisco, Comscore, Criteo, E&J Gallo Winery, Ingenico Group, IRi, Novartis, Outbrain, Paysafe, Samsung, TransUnion, UnitedHealthcare, and Whiting Petroleum.
|Partners||Amazon, Cisco, Deloitte, Google, HPE, Microsoft, SAP, and Teradataare part of the worldwide MapR partner ecosystem.|
|Investors||Investors include Future Fund, Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.|
A majority of MapR customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that over 95,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, and SAP are part of the broad MapR partner ecosystem.
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