eHarmony finds MongoDB the match that is perfect information shop

eHarmony finds MongoDB the match that is perfect information shop

On the web dating website eHarmony has utilized open source NoSQL database MongoDB for the information shop, to accelerate distribution of matches between users

On the web site that is dating discovered that open source NoSQL database MongoDB ended up being the most wonderful match because of its information store needs.

The solution had around one million registered members in 2001 nevertheless now has 44 million, and its particular machine-learning compatibility engine that is matching gained in elegance. Consequently, its Postgres SQL relational information store had been no further the solution that is best.

Thod Nguyen, primary technology officer at eHarmony (pictured) says: “Our compatibility matching model is starting to become increasingly more complex. And, remember, it’s bi-directional. It really is a various model to, state, Netflix. It is possible to like a film however it doesn’t always have to have a liking for you straight straight right back.”

He claims that 5% of most US marriages, since 2005, begin during the eHarmony internet site, which processes a billion matches every day. The technology that is machine-learning has been processing individual pages for ten years is proprietary.

Making use of MongoDB for the information shop means processing the whole user pool may take destination within 12 hours, an activity that formerly took 15 times.

“But matching is simply one part of the web site,” claims Nguyen. “There are user engagement tasks, too,” which may have become richer having a brand new web site, he claims.

Nguyen joined the Santa company that is monica-based months ago, by having a history that features time at MyLife and electronic advertising platform provider Zurock, and experience with placing NoSQL technologies into manufacturing.

He and their 60-strong group have now been confronting a “dramatic boost in traffic”, with the increasing complexity associated with the user profiles matching model. Leia mais