Case Study: Q4 Inc boosts developer productivity and reduces costs with MongoDB Atlas

Q4 Inc. Relies on MongoDB Atlas to Boost Productivity, Outpace the Competition, and Lower Costs

Q4 Inc., a Toronto-based provider of cloud-first investor relations solutions (including corporate and investor websites, capital markets intelligence, and the integrated Q4 Desktop CRM), serves over 1,000 global clients including many Fortune 500 companies. As the company scaled and adopted a microservices architecture, it struggled with diverse data formats that didn’t fit relational schemas, slow developer onboarding, and rising costs and operational complexity from multiple third-party MongoDB providers.

Q4 migrated its clusters to MongoDB Atlas using Atlas’s live migration and now runs a dozen+ clusters on AWS, consolidating management and reducing costs without a production maintenance window. The move accelerated developer ramp-up (new hires productive in under a week), simplified complex queries and debugging, improved backup and point-in-time recovery, and enabled rapid integrations (e.g., Atlas + Stitch + AWS Lambda/Alexa), helping Q4 boost productivity, out-innovate competitors, and meet disaster-recovery goals.

Q4 Inc

Alex Corotchi

VP of Technology