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At the forefront of big data and machine learning, eHarmony’s matching systemuses a flow algorithm operating on a massive array of computers to process a billion potential matches every day worldwide. Built on MongoDB, eHarmony’s “potential match generator” uses bi-directional, user-defined criteria to match members based on a complex, comprehensive set of traits and preferences.
MongoDB’s flexible data model and powerful indexing features enable eHarmony to perform multi-attribute searches to quickly narrow down the number of potential matches for singles. The process of identifying matches was narrowed from 15 days for the entire user pool to 12 hours with MongoDB, a 95 percent reduction in time.
“With our previous, decentralised SQL-based system, the entire user profile set was stored on each server, which impacted performance and impeded our ability to scale horizontally,” said Thod Nguyen, CTO at eHarmony. “MongoDB supports the scale that our business demands and allows us to generate matches in real-time that appeal to new users when they first log in. Fast, accurate matching is at the heart of our business, and MongoDB is vital to that success. ”
eHarmony evaluated a number of data management technologies to power the potential match generator of their Compatibility Matching System®. In addition to its rich query capabilities and flexible data model, eHarmony selected MongoDB for its built-in sharding and replication, and the ability to deploy new replica sets on demand.
“MongoDB is the clear choice for companies like eHarmony that require a combination of flexibility, high-performance, scale and rich querying to handle the demands of large-scale systems,” said Max Schireson, CEO at 10gen. “We’re seeing an increasing trend across verticals for organisations running real-time applications like the Compatibility Matching System® that are benefiting from NoSQL technologies like MongoDB.“
As one of the most popular new technologies, MongoDB has more than 4 million downloads, 95,000 Online Education registrations, 15,000 MongoDB User Group (MUG) members, 14,000 MongoDB Monitoring Service users and 10,000 attendees at MongoDB global events in 2012.
MongoDB is the open-source, document database popular among developers and IT professionals due to its agile and scalable approach. MongoDB provides a JSON data model with dynamic schemas, extensive driver support, auto-sharding, built-in replication and highavailability, full and flexible index support, rich queries, aggregation, in-place updates and GridFS for large file storage.
