Come to MongoDB World this June and learn how eHarmony was able to reduce the time of their matching algorithm from 2 weeks to 12 hours with MongoDB. 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.
Thod Nguyen, CTO, eHarmony
Featuring eHarmony’s CTO, Thod Nguyen, eHarmony will present “Big Dating at eHarmony” and discuss their matching system, their technology evaluation process, and how they use MongoDB to make the happiest couples in the world.
See how other companies like eHarmony are dealing with their Big Data at MongoDB World:
- Moving from MS SQL to MongoDB: A Two Year Journey Brain Kaiser, CTO, Hudl
- Hear how Hudl has accomplised developer productivity increase, reduced latency for end users, and better serve fault resiliency by switching to MongoDB.
- Scaling to 30,000 Requests Per Second and Beyond with MongoDB Mike Chesnut, Director of Operations Engineering, Crittercism
- Learn about Crittercism’s experience with MongoDB and how MongoDB has helped them be able to meet customer demand and maintain uptime.
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