October 22, 2016 9:29 PM ET


Company Overview of MapR Technologies, Inc.

Company Overview

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

Suite 100

San Jose, CA 95134

United States

Founded in 2009



Key Executives for MapR Technologies, Inc.

Chief Executive Officer and Director
Co-Founder and Executive Chairman
Co-Founder, Chief Technology officer and Director
Chief Financial Officer
Age: 56
Chief Application Architect
Compensation as of Fiscal Year 2016.

MapR Technologies, Inc. Key Developments

HelloFresh Selects MapR Technologies, Inc. to Optimize Fresh Meal Delivery Experience Worldwide

MapR Technologies, Inc. announced that HelloFresh, is using MapR to carry out deeper data analysis with greater scale and flexibility. The MapR Converged Data Platform enables HelloFresh to leverage weekly subscriber touch points, consistently manage supply chains and demand, and optimize customer experience as well as business operations. HelloFresh selected a data platform based on Hadoop and other big data technologies after realizing its “home-brewed” business intelligence solution lacked scalability. Its previous underlying data platform would quickly hit a limit as HelloFresh’s data analysis needs became more demanding. Deploying the MapR Platform was a clear choice after recommendations by other companies and based on the strength of the technology. Key MapR capabilities for HelloFresh include MapR NFS, disaster recovery features including Snapshots, and access to the responsive MapR support and professional services teams. Other technologies used in the HelloFresh solution include Tableau, Apache Impala and a number of third-party services hosted on Amazon Web Services. Berlin-based HelloFresh serves over 7.5 million meals per month to more than 800,000 subscribers in the UK, Germany, Switzerland, Netherlands, United States, Canada, Austria, Belgium and Australia. Working closely with MapR, HelloFresh achieved the following benefits: Rapid Development: HelloFresh built and migrated data to its MapR Platform in record time – less than two months – in contrast to the six months it took to build a home-brewed platform. Faster Performance Enables Business Agility: Where it used to take nine hours to process two weeks of data, it now takes 20 minutes. This faster performance makes HelloFresh more agile, giving them more rapid access to business insights and the ability to innovate, try new things, and adjust as needed. Scalable, Richer, and More Flexible Data Analysis: HelloFresh gathers data from a wide range of feedback points and analysis of this was previously done manually – an incredibly cumbersome exercise. Now the company has automated the process with the MapR Platform, enabling data analysis across multiple data sources including its corporate database, website, distribution centers, customer care tickets and application usage. Management teams also have the capacity to explore the data themselves in a platform geared towards self-service.

MapR Technologies, Inc. Unveils Support for Event-Driven Microservices on Converged Data Platform

MapR Technologies, Inc. announced at Strata + Hadoop World comprehensive support for microservices that leverage continuous analytics, automated actions, and rapid response to better impact business as it happens. New capabilities in the MapR Platform range from microservices application monitoring and management to integrated support for agile microservices application development. Support for event-driven microservices relies on underlying new capabilities including: Comprehensive monitoring of cluster-wide operations and resource usage in a single pane of glass view. Microservices-specific volumes for application versioning, simplifying the development lifecycle and production deployment. Microservices for A-B and multivariate testing enabling rapid machine learning model development and optimization. Event-driven microservices on the MapR Converged Data Platform allow developers to have the freedom to combine a range of machine learning and analytic functions directly on the data. Microservices that seamlessly leverage file, database, and streaming services can be orchestrated on the Converged Data Platform with an underlying publish-and-subscribe framework that integrates data-in-motion and data-at-rest to support continuous and low latency processing. This highly effective approach integrates information from the latest events with deep insights from accumulated data. These microservices capabilities benefit from key features of the MapR Converged Data Platform including: Unified security with Access Control Expressions for data volumes, including streaming data. Support for agile and containerized application development on Docker, including applications with persistent data requirements. Converged analytic, processing, and messaging services in the same physical nodes for real-time requirements and greater simplicity. Support for hybrid cloud microservices architectures with global message service, global data namespace, bidirectional data flows with loop detection, and service scale out capabilities. Logical and functional isolation of services. Ideal for machine learning model training and evaluation. Continuous high availability and multi-master mission-critical disaster recovery capabilities. Microservices applications and other converged application development is simplified on the MapR Platform. Developers have the freedom to combine file, database, document, and streaming analytics functionality. With a single line of code, developers can easily persist complex data types with JSON in MapR-DB, so they can focus on developing innovative features. Customizable dashboards deliver full visibility of cluster hardware and software operations, utilization, and service logs. The Exchange, part of the MapR Converge Community, provides a public forum for sharing best practices around microservices, dashboards, and code snippets.

MapR Technologies, Inc. Announces Management Changes

MapR Technologies, Inc. announced the appointment of Matt Mills, previously president and COO, as chief executive officer and board member. Company founder and previous CEO John Schroeder will assume the role of executive chairman. He will remain involved fulltime with the company, continuing to partner with Mills while focusing on product vision and strategy, investor relations, and industry & customer relationships. Both executives assume their new roles effective immediately. This change is a natural evolution for the company, capitalizing on existing MapR leadership and positioning the company for further success. Mills and Schroeder bring strong complementary skill sets, mutual respect for each other, and have already proven to be a successful leadership team; the company has posted four consecutive quarters of record growth under their shared guidance. Mills is a seasoned industry veteran who brings a strong track record for leading high-growth organizations. He joined MapR after 20 years at Oracle, most recently leading the NA business while serving on the company’s executive committee. With his experience in scaling a business in a competitive market, Mills is well-suited to ensure that MapR capitalizes on its tremendous market opportunity.

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