Building an Analytics Layer on Top of Your Existing Database (opens in new tab)

You're six months into your SaaS product. The app works. Users are signing up, data is flowing, and someone on the team says, "Can we get a dashboard showing churn by plan tier?" So you write a query. It touches five tables, scans 2 million rows, and takes 14 seconds to run. You slap it on a dashboard. Now every page load is slow and your database CPU spikes to 90% every five minutes. This is the moment most teams realize their production database and their analytics needs are fundamentally a...