Precog for MongoDB bundles Precog's core data science platform and Labcoat, Precog's interactive data analysis tool, into a free package that anyone can download and deploy on their existing MongoDB database.
Boulder, Colo. (PRWEB) November 07, 2012
Precog, a leading developer of infrastructure for data warehousing and analysis, today announced that it has released a MongoDB implementation of the Precog data science platform. Precog for MongoDB empowers companies to quickly and easily build advanced big data analytics features into their applications on top of their existing MongoDB database.
A broadly adopted NoSQL database, MongoDB is used by companies including foursquare, eBay and Disney for agile, scalable application development. Precog is a data science platform that enables developers and data scientists to perform advanced analytics and statistics using Quirrel, the “R for big data” language. Precog for MongoDB bundles Precog’s core data science platform and Labcoat, Precog’s interactive data analysis tool, into a free package that anyone can download and deploy on their existing MongoDB database.
“MongoDB continues to see tremendous adoption due to its ease-of-use and flexibility, allowing developers to focus on core application functionality rather than getting bogged down in the complexities presented by running a database at scale,” said Ed Albanese, vice president of business development at 10gen. “Precog for MongoDB promises developers the ability to quickly and easily build sophisticated data analysis features into their application.”
“Precog for MongoDB empowers developers to conduct sophisticated data analysis directly inside of a data warehouse and eliminates the need for custom coding or a separate ETL process into a small-data statistical tool,” said John De Goes, CEO, Precog. “It’s clear that MongoDB developers share our passion for creating software that developers love to use, and we’re thrilled to bring our powerful data analysis capabilities to anyone building on MongoDB.”
The Precog data science platform offers an end-to-end solution for programmatic big data analysis: from capture and storage, to cleaning and enrichment, to deep analysis designed to power intelligent, insightful features inside applications. Precog is ideal for heterogeneous data, normalized and denormalized data, whole data analysis, complicated analysis and data integration.
To download or to learn more about Precog for MongoDB, visit http://www.precog.com/mongodb.
Precog is the leading developer of data warehousing and analysis infrastructure designed to help developers build sophisticated big data capabilities into their applications. Precog’s family of warehousing, analysis and reporting products empower developers to quickly build big data applications without the headache of custom data infrastructure development and maintenance. Precog is the inventor of the Quirrel declarative query language and has developed the industry's most complete and heavily optimized execution stack for Quirrel. A 2011 TechStars graduate, Precog is backed by RTP Ventures, Resonant Venture Partners, David Cohen and several notable individual investors. For more information, please visit http://www.precog.com.