MapR and Collaborate to Speed Up Enterprise Data Science Workflows

10.03.17 and MapR have announced a joint offering for a seamless approach to running data science work directly on the MapR platform.

Orlando, FL and Los Angeles, CA, October 3, 2017 — MapR Technologies, Inc., a leader in delivering one platform for all data, across every cloud, and, an enterprise data science platform provider, today launched at Gartner Symposium/ITxpo a certified joint solution powered by the MapR Converged Data Platform. With this partnership, customers can enjoy a truly collaborative workflow environment where their data science experiments can run directly on the MapR Platform without needing a separate compute cluster to access data. 

“We’re excited to partner with MapR to bring our enterprise data science platform to their customers,” said William Merchan, Chief Strategy Officer, “By integrating the MapR Persistent Application Container Client, data science jobs are deployed directly on the MapR cluster for fast data access and better resource utilization. This is a huge differentiator for us compared with other data science workbenches on the market. Partnering with the leaders in the enterprise data platform space greatly enhances the ability of our customers to scale their analyses and deploy models to mission-critical production applications.” 

Data scientists can now collaborate to build and deploy models via a full-featured platform from and MapR that provides convenient access to a wide range of data science tools and notebooks integrated directly with MapR. Tight integration between and MapR enables data scientists to leverage a pre-built Docker container, providing secure role-based access to real-time and historical data without requiring private copies which greatly simplifies logistics. MapR makes it possible to power a new generation of big data applications with enterprise-grade security, reliability and real-time performance.

“MapR has always been committed to making our customers successful.  Our philosophy is reflected in the design of our platform; by embracing industry-standard APIs we make it easy to leverage a huge variety of different processing engines and tools on top of our platform without having to stand up additional clusters,” said Crystal Valentine, VP, technology strategy, MapR.  “Over 70% of our customers are using the MapR Platform for machine learning and data science, so a partnership with is great way to increase the productivity of our customers and enhance their ability to innovate and collaborate,” said Valentine. and MapR will present its joint solution at Gartner Symposium/ITxpo today at 3:45pm in Room Europe 6 at Walt Disney World Dolphin Hotel.


The joint offering is immediately available on-premises or in the cloud, including AWS, Azure, and Google Cloud.

Tweet: .@MapR and @DataScienceInc collaborate to support #datascience and #ML in the #enterprise

About provides an enterprise data science platform that combines the tools, libraries and languages data scientists love with the infrastructure and workflow that their IT organizations need. The Platform maximizes the way data scientists like to do work, so they can solve the right problems, create better analyses, amplify their results, and put more work into production — all from one place.

About MapR Technologies

MapR Technologies has pioneered one platform for all data, across every cloud. We enable companies to harness the power of all of their data with the MapR Converged Data Platform. With the MapR Platform, companies can do analytics and applications together as data happens to create intelligent, next-generation applications to outperform the competition. Global 2000 enterprises are using the MapR Platform to help them solve their most complex data challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit

Media Contacts:

Beth Winkowski

MapR Technologies, Inc.

(978) 649-7189

Justin Charness

(310) 579-6200