Big Dating at eHarmony
June 25, 2014
eHarmony uses MongoDB to make it easier for couples to find each other. At the forefront of big data and machine learning, eHarmony’s matching system uses a flow algorithm to process a billion potential matches per day. The Compatibility Matching System® uses bi-directional, user-defined criteria to match members based on a comprehensive set of traits and preferences. The system was originally built on a relational database, but with over 51MM+ users, it took more than 2 weeks for the matching algorithm to run. By switching to MongoDB, eHarmony reduced the time to match by 95% to under 12 hours. Learn about eHarmony's matching system, its technology evaluation process, and how it has used MongoDB to make the happiest couples in the world.
Customer Testimonial: Bond creates thoughtfulness at sc...
April 04, 2017
Building an AI Startup with MongoDB at x.ai
November 01, 2016
Derivitec Uses MongoDB Cloud Manager and AWS to Process...
September 06, 2016
DICE Scales with MongoDB to Battle Touting and Help Fan...
August 30, 2016
View more like this >