Built with Databutton?
Let's make sure it's production-ready.
Databutton is an AI app builder focused on data-driven applications and internal dashboards. It generates Python FastAPI backends paired with React frontends, making it popular for analytics tools, reporting apps, and data pipelines. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Databutton code
These are real problems we see in Databutton projects during our audits — not hypotheticals.
SQL injection in AI-generated query strings
Databutton's generated FastAPI endpoints sometimes build SQL queries using f-strings or string concatenation with user-supplied parameters, bypassing parameterized query protections entirely.
No authentication on data API endpoints
Data pipeline endpoints are frequently generated without authentication middleware, exposing raw database access and sensitive business metrics to anyone who discovers the API URL.
Unhandled data type mismatches crashing pipelines
Generated data processing code assumes clean input schemas. When upstream data contains nulls, type changes, or unexpected formats, pipelines throw unhandled exceptions and fail silently.
Missing pagination on large dataset queries
Data queries load entire tables into memory without limit or offset clauses. With more than a few thousand rows, responses time out and memory usage spikes.
Synchronous data processing blocking the event loop
CPU-intensive data transformations and file parsing are run synchronously in FastAPI route handlers, blocking the entire server during long operations.
Databutton-specific hosting not suitable for production scale
Databutton's built-in hosting works for internal tools but has no SLA, no auto-scaling, and limited custom domain support. Production data apps with real users need dedicated infrastructure.
No test coverage for data transformations
Data processing logic — the most critical part of a data app — is generated with zero tests. Incorrect calculations or transformation bugs go undetected until they surface in production dashboards.
Tightly coupled data logic and UI components
Business logic for data aggregations and transformations is embedded directly in React components rather than in the Python backend where it belongs.
How we can help with your Databutton project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your Databutton app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Databutton app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Databutton backend
Start with a self-serve audit
Get a professional review of your Databutton project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Is Databutton secure enough for sensitive business data?
Not without a security review. The most critical issue is unauthenticated data API endpoints — any SQL injection or exposed endpoint gives attackers direct access to your database. We audit and fix both before you share the app with real users.
Can you migrate my Databutton app to standalone hosting?
Yes. We extract the FastAPI backend and React frontend from Databutton's environment and deploy them to Railway, Render, or AWS with proper environment configuration and auto-scaling.
How do I add authentication to my Databutton data app?
We add authentication to FastAPI using JWT tokens or OAuth, protect all endpoints with middleware, and wire the React frontend to a proper auth flow. Role-based access control is straightforward to add.
Can SpringCode optimize slow Databutton queries?
Yes. Common fixes include adding database indexes, implementing pagination, moving aggregations to the database layer instead of Python, and making long-running operations asynchronous.
Is Databutton a good choice for internal tools?
Databutton is well-suited for early-stage internal dashboards and prototypes. For tools handling sensitive data or real user traffic, you need security hardening and production hosting before going live.
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Get your Databutton app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.