Interactive workbench
DBML to SQL Converter
Convert DBML models into portable SQL DDL with deterministic mappings.
How does this DBML translate into executable SQL and a reviewable relationship map?
How to use it
- Set the assumptions on the left until they match the workload you are reviewing.
- Validate the structured result, metrics, and recommendations before exporting.
- Copy or export the artifact directly into the design doc, ticket, runbook, or review packet.
What you leave with
- Generated SQL DDL for the modeled tables.
- A Mermaid relationship map for docs and reviews.
- Table and relationship totals to validate the conversion scope.
Tool inputs
DBML to SQL Converter
Convert DBML into SQL DDL and a matching Mermaid relationship view.
Paste tables and refs from your DBML source.
Shortcut keys: Ctrl/Cmd + Shift + C copies the current output, and Ctrl/Cmd + Shift + S saves a revision snapshot.
Result
DBML conversion
Converted DBML into 2 SQL tables and 1 relationships.
Tables
2
Modeled tables converted into executable SQL.
Relationships
1
Foreign-key relationships preserved from the DBML source.
SQL lines
12
Approximate migration payload size for review and execution.
Filter line-level matches before you export or share the result.
Operator takeaways
- The converter gives the team an execution-ready SQL draft and a documentation-friendly relationship view from the same source.
- Relationship totals help catch missing refs before the DBML is committed to a migration pipeline.
Recommended next steps
- Review the SQL output for engine-specific types and constraints before running it through migrations.
- Use the Mermaid tab to document the modeled relationships alongside the generated DDL.
FAQ
Questions teams ask before they adopt this workflow.
When should teams use DBML to SQL Converter?
This tool is most useful when the team needs a fast, reviewable answer before moving into a larger design, documentation, or governance workflow.
Who usually benefits most from DBML to SQL Converter?
Architects, platform teams, and technical leads get the most value because they need a clear artifact they can copy into reviews, runbooks, tickets, and stakeholder updates.
How does DBML to SQL Converter connect back to Architecto?
The free surface reduces friction. Once the team needs richer diagrams, review automation, or documentation outputs, the matching Architecto feature takes over without changing the workflow language.
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Comparison
Architecto vs Backstage
Architecto vs Backstage with a technical-buyer lens covering workflow fit, review quality, documentation depth, and surrounding architecture operations.
Continue in Architecto
Use the exported artifact from DBML to SQL Converter as the first review input, then move into Db Visualizer when the team needs a deeper design, diagram, or review workflow.
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