Case Study: Leveler.com achieves 30x higher performance and 3x lower development overhead with MongoDB

Leveler.com Realizes 30x Higher Performance and 3x Lower Development Overhead after Migrating to MongoDB

Leveler.com is a fast‑growing SaaS platform that helps independent contractors manage projects, estimates, invoicing and field work from web and mobile apps. Their early choice of Couchbase created significant hurdles — slow range queries and analytics, inefficient update patterns that required client-side rewrites and conflict handling, and flaky mobile sync — which slowed development and increased costs.

Migrating the backend to MongoDB (with Ionic client caching on mobile) delivered large gains: average query performance improved ~16x (some queries >30x), database-related development time fell from about 50% to under 15% (roughly a 3x reduction), and document count/storage dropped ~40%, allowing fewer servers and simpler operations. The team now uses expressive queries, aggregation analytics and replica-set self‑healing to innovate faster and reduce operational overhead.

Leveler.com

Jeremy Kelley

Co-Founder