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.
Sprinklr cut costs by more than 55% by migrating to Mon...
March 12, 2018
Doubling the number of background checks per year with ...
February 20, 2018
Merrill Corp: Building a technology-enabled platform to...
February 13, 2018
The City of Chicago: Analyzing unstructured data in rea...
February 09, 2018
View more like this >