Opening: The False Comfort of “Free Databases”You’ve heard this phrase before—casually dropped into Microsoft Teams calls with frightening confidence—“Oh, we’ll just use SharePoint as the database for our Power App.”And there it is. The modern cry of the overconfident citizen developer.This, right here, is the problem. People hear “data stored somewhere” and immediately conclude “database.” By that logic, your junk drawer is a supply chain management system.The confusion is forgivable, barely. SharePoint does hold data, and Power Apps can read it. But that does not make it a database any more than Excel becomes a server when you save two worksheets.Average users love the illusion. SharePoint lists look structured. They have columns and rows, fields and filters. And of course—it’s already included in Microsoft 365, so it must be good enough, right?Wrong. You’re about to see why the “free” database sitting in your tenant is a performance time bomb disguised as convenience.By the end, you’ll understand why Power Apps that begin with “just SharePoint” eventually die gasping under their own weight—and why treating it like SQL is the digital equivalent of trusting a filing cabinet to run an engine.Section 1: What a Database Actually IsLet’s reset the definitions before your app implodes. A proper database isn’t just a bucket that holds information. It’s a system built on architecture and logic. It has order, schema, indexing, relationships, and concurrency control—the invisible infrastructure that lets dozens or thousands of users read, write, and query your data without tripping over each other.SQL Server and Dataverse handle this beautifully. Schemas define the blueprint—every column type and constraint serves like support beams in a skyscraper. Indexes act as the elevator shafts that get you exactly where you need, fast. Relationships keep records consistent, ensuring that when one table sneezes, its related tables say “bless you” in perfect synchronization.Now compare that to SharePoint. SharePoint was not designed to manage transactions at scale. Its DNA is collaboration, version history, permissions, and file storage. It’s more like a glorified document librarian than a record-keeping accountant. It’s wonderful at organizing text, attachments, and metadata—but call it a database, and you might as well call your filing cabinet a “data processing engine.”Real databases think in joins, referential integrity, and execution plans. SharePoint thinks in lists, permissions, and column choices written by someone who definitely didn’t study relational theory. It’s a web layer optimized for people, not for queries.Here’s where the Power Apps confusion begins. The app happily connects to SharePoint through an OData connector. You can create forms, galleries, and dashboards. On the surface, everything looks professional. The danger is invisible—until your app grows.I once met a department that proudly built their internal CRM entirely on top of four SharePoint lists. It worked beautifully—for a month. Then came the fifth thousand record. Suddenly the app stuttered, screens froze, and every gallery took half a minute to load. Their users thought the problem was “bad Wi‑Fi.” It wasn’t Wi‑Fi. It was physics. SharePoint was trying to impersonate a relational database.The truth? Power Apps can connect to SharePoint, but that’s all it does—connect. It borrows the data source, but it doesn’t make SharePoint any smarter. There’s no hidden engine under the surface waiting to optimize your queries.Imagine trying to race with a car built from bicycle parts. Sure, it has wheels. It moves. But once you hit highway speeds, bolts start flying. The handlebars—the list structure—were never designed to steer that kind of load.Dataverse, in contrast, is a proper engine. It’s transactional, relational, optimized for delegation, and built for Power Platform from the ground up. It follows database logic, not just storage logic. That’s the difference between...