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FoundationDB and DataRPM Partner to Simplify Analytics & Visualization on Next Generation Database

Combined Solution Provides Data Consistency, Reliability and Rich Analytic Capabilities for Customers

VIENNA, VA--(Marketwired - July 22, 2014) -  FoundationDB, the company behind next generation database software that uniquely combines scalability and consistency, today announced a technology partnership with DataRPM, the industry pioneer in cognitive big data discovery & analytics platform. The integration allows users to perform data analysis, discovery and natural language analytics on data stored in FoundationDB's distributed, transactional database (via the SQL Layer).

"NoSQL databases are rapidly gaining adoption as datasets are getting bigger and moving faster than ever before," said Dave Rosenthal, CEO of FoundationDB. "FoundationDB's unparalleled distributed database technology solves the operational challenge posed by this new reality, but businesses need to do more than just store the data-they need to use it to gain insights from analysis. Our partnership with DataRPM allows us to bring the power of DataRPM's analysis engine to users of our distributed database."

DataRPM's unique cognitive computing and search-based big data discovery technology enables customers to automatically model data from disparate data sources for real-time ad-hoc analysis with the ability to ask the platform business questions in a natural language and get automatically visualized answers. Customers can interact with the answers and do search, slice-dice and drill downs, save asreports with rich visualizations and dynamic dashboards, and collaborate in-place among stakeholders.

"We are very excited to partner with FoundationDB to help them offer rich and natural big data discovery and analytics to their customers in an easy to use, plug-and-play solution," said Sundeep Sanghavi, Co-Founder and CEO of DataRPM. "Now anyone using FoundationDB can derive business value from data with the power and reliability of ACID transactions without having to be a data scientist per se."

Customers can select FoundationDB using the DataRPM's built-in connector to quickly analyze their data -- identifying trends and discovering information that helps them more easily make effective business decisions. Those interested can visit DataRPM's website for more details about the platform and integration.

Additional Resources

  • Download the free Community Edition of FoundationDB
  • Visit DataRPM's site to find out more about their platform
  • Read today's blog on the partnership
  • Follow @FoundationDB on Twitter or Like us on Facebook

About FoundationDB
Headquartered in Vienna, VA with additional staff in its Boston and San Francisco offices, FoundationDB was started in 2009 to address the lack of transactional NoSQL database systems. The founding team draws on its experience at Visual Sciences (NASDAQ: VSCN) (now part of Adobe) in building breakthrough data processing technologies. Further details about the company and its technology are available at www.foundationdb.com. FoundationDB is a trademark of FoundationDB, LLC. All previously cited trademarks and registered trademarks are hereby recognized and acknowledged.

About DataRPM
DataRPM is an industry pioneer in cognitive data discovery, the next generation of big data technology, delivering hyper-fast results to organizations challenged by the volume, velocity and variety of their big data. Our patent-pending Computational Graph Search technology enables hyper-smart, automatic modeling of data from disparate sources using semantic algorithms, eliminating the need to manually build complex data warehouses for discovery. DataRPM also creates hyper-fluid data lakes, enabling a more agile way to access and manage big data from multiple sources. Using a hyper-aware, natural language search interface to analyze and visualize data, DataRPM provides an easy, question-and-answer user experience for big data discovery. DataRPM was named "Cool Vendor" in Content and Social Analytics by Gartner in 2014.

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