Mtell and MapR Deploy Big Data Platform for Oil and Gas to Manage Real-time and Historical Sensor Data
San Diego and San Jose, Calif.

Collaborative Hadoop-based solution handles over 100 million data points per second to enable predictive maintenance on oil rigs


 Mtelligence Corporation (dba Mtell), and MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced a new Big Data platform called Mtell Reservoir that combines the MapR Distribution including Hadoop, Mtell Previse Software, and Open TSDB (time-series database) software technology. The system ingests and analyzes real-time sensor and historical data alongside maintenance data that are generated from industrial equipment for oil rigs, chemical plants, mining, water/wastewater, etc. 

Designed specifically for data center user needs, Mtell Reservoir is an enterprise historian that distributes disk access and CPU processing across MapR clusters of computers to provide orders of magnitude improvements over contemporary plant historians. The solution has proven loading of over 100 million data points per second on four servers, with performance that scales linearly with the number of servers.

“With a predictable, low-cost scaling methodology, MapR offers a top performing Hadoop distribution that can deliver the performance levels required when it comes to handling massive amounts of sensor and maintenance data,” said, Mike Brooks, President and COO, Mtell. “We discovered that other Hadoop distributions require far more hardware to accomplish what Mtell has deployed.”

The new solution from Mtell and MapR enables subject matter experts within organizations to perform remote monitoring and analysis from a central repository. There they can act on volumes of data retrieved from many assets at many locations to enable new levels of predictive maintenance. With Mtell Previse, the system proactively learns patterns of normal and errant behavior across fleets of equipment to provide warnings of minor degradation. Early problem mitigation can prevent equipment failure thus increasing net product output at any plant. The platform also enables entirely new insights into machine and process operations efficiency, quality, and utilization.

“Mtell holds a unique position in the oil and gas space as one of the only companies with an advanced machine learning platform for predictive maintenance,” said Ted Dunning, chief application architect, MapR Technologies. “Their expertise in the oil and gas space has been invaluable and played a key role in the success of applying the MapR Distribution in this demanding environment for reliably ingesting and analyzing data.”

With contemporary approaches, it takes an inordinate amount of time to load large datasets, forcing unacceptable delays before analysis can start. The combined MapR/Mtell solution drastically reduces loading time, while also enabling the ingestion and analysis of high-speed, real-time sensor data streams. This Big Data solution for manufacturing industries leverages OpenTSDB and MapR-DB (the MapR in-Hadoop NoSQL database), which allows more data to be acquired and accessed with Hadoop and uses less hardware for lower total cost of ownership. MapR-DB further decreases costs by simplifying the administration of large databases.   


About Mtell

Founded in 2006, Mtelligence Corporation (dba “Mtell”) is a privately held company providing software solutions for managing the health of industrial equipment. Making machines smart, Mtell plays an important role in developing the Industrial Internet of Things. In addition to reducing risk to people safety and the environment, Mtell is a significant contributor to equipment performance and profitability. Solutions are deployed globally in the oil and gas, mining, pharmaceutical, and wastewater industries. For more information, visit us online at

About MapR Technologies

About MapR Technologies

MapR enables organizations to create disruptive advantage and long-term value from their data with the industry’s only Converged Data Platform, which delivers distributed processing, real-time analytics, and enterprise-grade requirements across cloud and on-premise environments–while leveraging the significant ongoing development in open source technologies including Spark and Hadoop. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of 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 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Future Fund, Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.

Media Contacts

Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189

Kim Pegnato
MapR Technologies, Inc.
(781) 620-0016