Case Study

Lyft Speeds Up Data Discovery with Tool Using Neo4j

Lyft Speeds Up Data Discovery with Tool Using Neo4j

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www.neo4j.com The #1 Platform for Connected Data Case Study Lyft Lyft Speeds Up Data Discovery with Tool Using Neo4j At Lyft, finding the right data to analyze was difficult, and with growth in data volumes and team members, the problem was getting worse. Lyft built Amundsen to streamline data discovery. The Company Based in San Francisco, Lyft is an app-based gig economy company that provides more than 50 million rides a month to customers through its network of contract drivers. Riders use the Lyft app, which generates data with every ride Lyft provides. Lyft is Uber’s main competitor, and operates in 640 cities in the U.S., as well as nine cities in Canada. The Challenge Data is at the heart of every decision at Lyft. Once decisions are made, their impact is evaluated using d

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