Case Study: Lyft achieves rapid product launches and multi‑million ride scalability with mLab

A mLab Case Study

Preview of the Lyft Case Study

mLab Helps Lyft Navigate the Road from Startup to Ridesharing Juggernaut

Lyft partnered with mLab early on, choosing mLab’s Database-as-a-Service (cloud-hosted MongoDB) to re‑architect from Zimride into a mobile‑first ridesharing app and to address rapid product deployment, scaling to millions of rides, and expansion into new markets.

mLab provided managed MongoDB with battle‑tested backups, a slow‑query analyzer, live sharding migration with no downtime, and Private Environments for secure network peering; as a result Lyft launched in 24 cities in one day (April 24, 2014), hit one million rides in about a year, and now supports millions of rides per week while scaling seamlessly.


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Lyft

Chris Lambert

Chief Technology Officer


mLab

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