Teradata and MapR Technologies have announced an expanded partnership that covers technology integration, road map alignment, and a unified go-to-market offering. The two companies are optimizing integration of the MapR Distribution within the Teradata Unified Data Architecture, providing customers more choices when combining Teradata’s best-in-class data warehousing with Hadoop, discovery platforms, and NoSQL options to drive analytic innovation.
 The agreement also provides for Teradata to resell MapR software, professional services, and customer support and serve as the single point of contact for customers that use both Teradata and MapR solutions. Orchestration capabilities such as Teradata QueryGrid and Teradata Loom will be directly integrated with MapR software. QueryGrid is the seamless data fabric that both optimizes and simplifies processing across Teradata Databases, Hadoop distributions, the Teradata Aster Discovery Platform, NoSQL databases, and other technologies.Â
 “Customers who have invested in both MapR and Teradata solutions have requested integration, so now is the right time to expand our partnership. As customers continue to build out analytic architectures, they want flexibility and choice, and Teradata’s Unified Data Architecture is the most sophisticated and open big data ecosystem,” said Scott Gnau, president, Teradata Labs.
 “Hadoop is a must-have technology, enabling sophisticated data warehouse users with means to leverage even more data,” said John Schroeder, chief executive officer and co-founder, MapR Technologies. “As companies move Hadoop into production environments, customers are choosing the MapR Distribution because it brings high performance and reliability to Hadoop – just like Teradata customers have come to expect from their integrated data warehouse and analytic platforms.”
Teradata’s partnership with MapR further expands Teradata’s commitment to Hadoop, and provides customers best-of-breed Hadoop and NoSQL options such as MapR for production-ready deployments. The MapR Distribution supports major and emerging Apache Hadoop projects with an enterprise-grade platform that supports a broad set of mission-critical and real-time production uses.
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