Company Overview of MapR Technologies, Inc.
MapR Technologies, Inc. provides enterprise-grade distributed data platform to store and process big data. Its platform supports and brings speed to Hadoop, NoSQL, database, and streaming applications in one distribution for Hadoop. The company offers MapR M7, which provides distribution for Apache Hadoop with Hadoop database to run online and analytical processing on one platform; M5 edition, provides enterprise-grade Hadoop performance and management capabilities; and M3 edition for production use. It serves advertising, media, entertainment, data warehouse, financial services, government, healthcare, manufacturing, oil and gas, retail, technology and information services, and telecommunic...
2833 Junction Avenue
San Jose, CA 95134
Founded in 2009
Key Executives for MapR Technologies, Inc.
Co-Founder, Chairman of The Board and Chief Executive Officer
Co-Founder, Chief Technology officer and Director
Chief Application Architect
Senior Vice President of Product Management
Compensation as of Fiscal Year 2014.
MapR Technologies, Inc. Key Developments
MapR Technologies, Inc. Announces the General Availability of Apache Drill 1.0 in the MapR Distribution
May 19 15
MapR Technologies, Inc. announced the general availability of Apache Drill 1.0 in the MapR Distribution. Drill uniquely delivers self-service SQL analytics without requiring pre-defined schema definitions, dramatically reducing the time required for business analysts to explore and understand data. Drill enables interactivity with data from both legacy transactional systems and new data sources, such as Internet of Things (IOT) sensors, web click-streams, and other semi-structured data, along with support for popular business intelligence (BI) and data visualization tools. Drill provides reliability and performance at Hadoop scale with integrated granular security and governance capabilities required for multi-tenant data lakes or enterprise data hubs. Drill enables users to perform self-service data exploration on a wide variety of data types including complex JSON formats without having to depend on IT for data preparation. The scale, cost-effectiveness and schema-free writes that Hadoop provides are now complemented by Drill’s equally scalable, cost-effective and schema-free reads, providing low-latency SQL queries and flexibility for BI and analytics. Drill also ushers in a new era of IOT analytics. IOT data typically has large volumes of complex/semi-structured data (such as JSON) and is highly dynamic as data sources could be from hundreds and thousands of devices, with each dataset potentially having a different format. Drill is designed to effectively handle such datasets.
MapR Integrates its Hadoop Distribution with Teradata Querygrid
Apr 20 15
MapR Technologies, Inc. announced the integration of its utility-grade Hadoop distribution architected for real-time, data-centric enterprises with Teradata QueryGrid, providing big data analytics across multiple data sets with a single query. The comprehensive integration of the MapR Distribution including Hadoop with Teradata QueryGrid allows customers to offload less-frequently accessed data to Hadoop, query it on the fly, and join it with data in their existing data warehouse. The integration reduces data duplication and allows customers to store and process a larger portion of data on Hadoop for lower overall costs.
MapR Technologies, Inc. Presents at Credit Suisse 4th Annual Disruptive Technology Conference, May-13-2015 11:05 AM
Apr 11 15
MapR Technologies, Inc. Presents at Credit Suisse 4th Annual Disruptive Technology Conference, May-13-2015 11:05 AM. Venue: Park Central San Francisco, 50 Third Street, San Francisco, CA 94103, United States. Speakers: John Schroeder, Co-Founder, Chairman of The Board and Chief Executive Officer.
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