MapR provides direct integration with Concurrent’s open source Cascading framework in Hadoop distribution
SAN FRANCISCO – May 15, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced a partnership with MapR Technologies, Inc.™, the Hadoop technology leader, to expand usage of Apache Hadoop™ in the enterprise. Under this partnership, the MapR Distribution for Apache Hadoop has been certified compatible with Concurrent’s Cascading application framework and is now supported for production use by Concurrent’s customers. The MapR platform will also include an open-source application Multitool, based on Cascading, which allows users to search, find and process data files from the command line across a Hadoop cluster.
Apache Hadoop open source has been adopted quickly in “new economy” companies, but the requirement to write and manage complex MapReduce jobs and the inability to integrate the analytics with enterprise applications have slowed the broader mass adoption. By combining the MapR dependability, data protection and performance innovations with the power and broad platform support of Concurrent’s Cascading application framework, the two companies are bringing a simple-to-use, enterprise-grade development framework and deployment platform together for large-scale data analysis.
The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is the only distribution that enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR editions. Leading Fortune 100 and Web 2.0 companies, across industries, use MapR to analyze hundreds of billions of objects a day. MapR’s broad partner ecosystem includes market leaders such as Amazon, Cisco and Google.
Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) – open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.
“MapR is committed to continual innovation and growth in the Hadoop community. We’ve now fully certified the MapR Distribution with Cascading 2.1, a tool that has helped drive industry momentum and is widely leveraged by organizations whose business depends on data analysis. By partnering with Concurrent, we further expand on the promise of Hadoop by building a more robust and comprehensive solution for our customers.”
-John Schroeder, CEO and Co-Founder, MapR Technologies
“Enterprises in the business of data have the most to gain from using Hadoop, and MapR is the only Hadoop distribution that provides full data protection, no single points of failure, improved performance, and dramatic ease of use advantages to the enterprise. With today’s partnership, we have combined the power of Cascading with the reliability, scalability and performance of the MapR enterprise-grade platform, delivering one the most comprehensive offerings for Hadoop applications.”
-Gary Nakamura, CEO of Concurrent, Inc.
Cascading website: http://cascading.org
MapR website: http://www.mapr.com
Contact Us: http://concurrentinc.com/contact
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About MapR Technologies
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is used across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies. Amazon, Cisco and Google are part of MapR’s broad partner ecosystem. Investors include Lightspeed Venture Partners, Mayfield Fund, NEA, and Redpoint Ventures. Connect with MapR on Facebook, LinkedIn and Twitter.
About Concurrent, Inc.
Concurrent, Inc. is the enterprise Big Data application platform company. Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Investors include Rembrandt Venture Partners and True Ventures. Connect with Concurrent on LinkedIn and Twitter.
Visit Concurrent Inc online at http://concurrentinc.com
Kulesa Faul for Concurrent, Inc.
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