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.
Real developers can help you.
Krishna Sai Kuncha
Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : )
Sage Fulcher
Hey I'm Sage! Im a Boston area software engineer who grew up in South Florida. Ive worked at a ton of cool places like a telehealth kidney care startup that took part in a billion dollar merger (Cricket health/Interwell health), a boutique design agency where I got to work on a ton of exciting startups including a photography education app, a collegiate Esports league and more (Philosophie), a data analytics as a service startup in Cambridge (MA) as well as at Phillips and MIT Lincoln Lab where I designed and developed novel network security visualizations and analytics. I've been writing code and furiously devoted to using computers to make people’s lives easier for about 17 years. My degree is in making computers make pretty lights and sounds. Outside of work I love hip hop, the Celtics, professional wrestling, magic the gathering, photography, drumming, and guitars (both making and playing them)
rayush33
JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems
Kingsley Omage
Fullstack software engineer passionate about AI Agents, blockchain, LLMs.
PawelPloszaj
I'm fronted developer with 10+ years of experience with big projects. I have small backend background too
Bastien Labelle
Full stack dev w/ 20+ years of experience
Anthony Akpan
Developer with 8 years of experience building softwares fro startups
zipking
I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify.
As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value.
Vlad Temian
15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox).
Cursor ambassador and agentic tooling builder.
I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti.
I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks.
https://blog.vtemian.com/
Dor Yaloz
SW engineer with 6+ years of experience,
I worked with React/Node/Python
did projects with React+Capacitor.js for ios
Supabase expert
You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.
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.