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From our Customers

With foursquare's growing popularity, we were fast approaching the point where it would no longer be feasible to store user checkins on a single physical machine. MongoDB's auto-sharding capabilities enabled us to easily transition to a multi-node cluster that will enable us to continue to grow for the foreseeable future.

Harry Heymann Engineering Lead, foursquare

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The New York Times R&D Lab and MongoDB

Jake Porway, The New York Times Company


Posted on 2011-06-07

Video

The NYT R&D Lab is home to a number of projects that require collecting, filtering, and analyzing realtime data feeds from a variety of sources to better understand how people interact with the news, the world, and each other. As such, we've chosen MongoDB as our database of choice for quickly ingesting, organizing, and indexing this data. In this talk we'll present an overview of some of the projects we're actively working on and how we use MongoDB in each. We'll talk primarily about Project Cascade, a visualization tool that uses MongoDB to store and manage data about social sharing activity related to Times content, and OpenPaths, an initiative allowing iPhone users to anonymously upload and view their location data, which will leverage MongoDB's geo-indexing capabilities.

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