SQL app built with Databutton? Let’s review it.
Expert code review for SQL apps built with Databutton. We find Databutton-specific bugs, fix SQL security issues, and optimize performance. From $19.
Databutton issues we find in SQL projects
Problems specific to Databutton's code generation patterns when building SQL apps.
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.
SQL issues we check for
Common SQL problems that affect production readiness.
SQL injection from string concatenation
Building queries by concatenating user input directly into SQL strings instead of using parameterized queries, enabling full database compromise.
Missing indexes on queried columns
Queries filter and join on columns without indexes, causing full table scans that slow exponentially as data grows.
SELECT * in production queries
Fetching all columns when only a few are needed, wasting bandwidth, memory, and preventing covering index optimizations.
N+1 query patterns
Executing one query per row in a loop instead of a single JOIN or batch query, multiplying database round trips by the number of records.
Start with a self-serve audit
Get a professional review of your Databutton SQL project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code 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.
Frequently asked questions
Can you review SQL code generated by Databutton?
Yes. We regularly audit SQL projects built with Databutton and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What SQL issues does Databutton typically create?
Common issues in Databutton-generated SQL code include: sql injection in ai-generated query strings, no authentication on data api endpoints, unhandled data type mismatches crashing pipelines. Combined with SQL-specific concerns like sql injection from string concatenation and missing indexes on queried columns.
How do I make my Databutton SQL project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Databutton-built SQL projects, the typical path is: fix security gaps, address SQL-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review Databutton-generated SQL code?
Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.
Related resources
Need help with your Databutton SQL project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.