Case Study: Commandiv achieves a secure, scalable stock‑trading app with MongoDB Atlas

Building a Secure Stock-Trading App with MongoDB Atlas

Commandi is a pre‑seed stock‑trading platform that delivers trade recommendations and a rich view of investments for busy professionals, growing 60–70% month over month. The team needed a secure, reliable database that could model complex, nested stock data for analytics and backtesting, support fast UI access without expensive joins, and minimize DevOps overhead so a small team could validate the product and scale quickly.

They adopted MongoDB Atlas and Compass (with a Node.js/React stack) to use flexible document schemas for rich ticker data, speed up reads, and avoid costly joins. Compass accelerated onboarding (a junior hire became productive in ~2 weeks), while Atlas provided managed operations, VPC peering, simple permissioning and point‑in‑time backups. The result: stronger security and reliability, less hands‑on DevOps, faster development cycles, and continued focus on product growth.

Commandiv

Tom Goldenberg

Chief Technology Officer