AppSheet got you to a working app faster than any dev shop could. Then the data caught up: syncs crawl, limits bite, edits collide. That is not a sign you built it wrong — it is a sign it worked. We move apps like yours onto SQL, or off the platform entirely when that is the honest call.
Book a 30-min scaling review →A spreadsheet back end is the right choice at the start and the wrong one at scale. These are the tells that you have crossed over.
Your team opens the app, waits, and starts keeping a side spreadsheet again. Every row added makes it worse.
More than 50k rows and your app slows to a halt. Archiving live data just to keep the app usable is not long-term viable.
Moving AppSheet automations and actions to SQL triggers or cloud code can eliminate tricky timeouts.
The numbers leadership asks for take a human being an afternoon, because the data was never shaped to answer them.
These are different problems with different price tags, and telling them apart is high value. We'll tell you which one is best for your business.
The app is right — the storage under it is not. We migrate Sheets, Excel, or AppSheet Database onto a real SQL database, keep the interface your team already knows, and the ceiling disappears. Most apps that feel 'too slow to use' are this.
Sometimes the constraint is the platform, not the database: you need an interface AppSheet will not draw, logic it will not express, or an integration it will not hold. Then the honest answer is to move — and to move without a rewrite-from-zero year.
Both of these started where you are: a spreadsheet doing a database's job. Moving to SQL and pro-code locked in long-term value for them.
A 50-column shipment spreadsheet was running RAMKO's entire facility. We replaced it with a 17+ app ecosystem wired through AppSheet, SQL, and Google AppsScript — recovering 6,040 hours and a million-dollar liability.
JLHA was paying a Time Tax on every project: paper inspections, spreadsheet sprawl, email-chain status checks. We shipped 16 custom AppSheet apps to digitize their field operations end-to-end.
Usually not. If the app's logic and screens are doing their job, a back-end migration keeps all of it and swaps only the storage underneath. Rebuilding is what we recommend when the platform itself has become the constraint — and even then it is incremental, not a cutover.
That is the actual diagnosis, and it is worth doing before anyone quotes you a build. The short version: if your app is slow, hitting limits, or losing concurrent edits, it is a storage problem and SQL solves it. If your app cannot express what the business now needs it to do, no database fixes that.
No. The live app keeps running throughout. Migrations are staged and reversible, and we cut over when the replacement is verified — not on a date that was convenient to promise.
Yes — and the two case studies on this page are both exactly this shape. RAMKO ran an entire injection-molding facility on a 50-column shipment spreadsheet before we replaced it with a 6,040 hrs-recovering ecosystem wired through AppSheet, SQL, and AppsScript. JLHA scaled to 16 apps across a field operation. We maintain both.
Bring us the app that is slowing down. In 30 minutes we will tell you whether it needs a SQL back end, a platform move, or nothing at all yet.
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