Case Study: Stream scales and personalizes feeds for 200M+ users with MongoDB Atlas (MongoDB)

How MongoDB Atlas and AWS help make it easier to build, scale, and personalize feeds that reach millions of users

Stream is a feed-as-a-service platform that helps companies build, personalize, and scale activity feeds for more than 200 million users (clients include Product Hunt and the open-source app Winds). Stream faced availability and cost issues with a prior managed MongoDB provider and needed predictable pricing, built-in high availability across AWS availability zones, and less operational overhead so its engineers could focus on product features.

Stream migrated to MongoDB Atlas on AWS, running M30 instances with auto-expanding storage and cross‑AZ replica sets, and now uses Atlas’s UI/API to scale, provision, and back up clusters automatically. The move eliminated the need for a dedicated ops hire, reduced and stabilized costs, accelerated development and testing by enabling quick cluster spin-ups, and set the stage for further simplification (e.g., using change streams to remove Redis) and migration of additional apps to Atlas.

Stream

Ken Hoff

Stream