Large Data Sets Causing Timeouts and Crashes in Base44
As your Base44 app has grown, certain operations have started timing out or causing the app to crash. Pages that display data take too long to load, exports fail, and search functionality becomes unusably slow. The app worked fine with a small dataset but degrades significantly with thousands or tens of thousands of records.
This is a common scaling issue with AI-built apps that don't implement data pagination and efficient querying by default. The problem compounds because each new record makes the app slightly slower.
Users may experience browser memory warnings, complete page freezes, or error messages about request timeouts when trying to access large data views.
Error Messages You Might See
Common Causes
- All records are loaded into memory on the client side instead of being paginated server-side
- Search queries scan every record without database indexes
- Complex computed fields or formulas are recalculated for every record on each page load
- Data exports attempt to process the entire dataset in a single request
- Related record lookups create N+1 query problems, multiplying database requests
How to Fix It
The most critical fix is implementing server-side pagination. Instead of loading all records and filtering client-side, the database query should only return the current page of results.
For search functionality, ensure that searchable fields have proper indexing. Without indexes, every search scans the entire table.
Consider archiving old records that are rarely accessed. Moving historical data to a separate table reduces the active dataset size. For comprehensive scaling optimization of a Base44 app, a developer can implement proper pagination, indexing, and data management strategies.
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Get HelpFrequently Asked Questions
Why does my Base44 app crash with lots of data?
Most likely, the app loads all records into browser memory instead of paginating. Implement server-side pagination to only load the records needed for the current view.
How many records can Base44 handle?
With proper pagination and indexing, Base44 apps can handle large datasets. The issue isn't the total number of records but how many are loaded at once. Limit each query to 25-50 records.
Should I archive old data in Base44?
Yes. Moving rarely accessed historical records to a separate table reduces the active dataset size and improves performance for day-to-day operations.