
Azimutt
Seamless exploration for large & complex databases
About Azimutt
Azimutt is a next-generation ERD (Entity Relationship Diagram) tool built to explore, document, and analyze large and messy databases. It combines incremental schema visualization, an AML design language, a database linter, and path-finding to help developers, analysts, and DBAs make sense of complex relational and document databases.
Pros & Cons
Pros
- Handles very large and messy schemas where traditional ERD tools become unusable
- Built-in linter catches missing keys, type mismatches, and other schema smells automatically
- AML DSL lets you design databases as code with minimal syntax
- Native support for both relational and document databases in one tool
- Generous free tier with no signup required for basic exploration
- Open source with an active GitHub community
Cons
- Overkill for small projects or simple schemas
- Saveable projects and database analysis are gated behind paid tiers
- AI features only available on Team plan and up
- Smaller ecosystem and community than long-established tools like dbdiagram or DrawSQL
Key Features
Scalable ERD
Incrementally visualize huge schemas by choosing exactly which tables, columns, and relations are displayed.
AML Design Language
Minimal DSL for rapidly modeling databases as code without leaving the editor.
Database Linter
Automatic analysis surfaces missing primary keys, missing foreign keys, type inconsistencies, and other schema issues.
Multi-Database Support
Native support for PostgreSQL, MySQL, SQL Server, MongoDB, Couchbase, Snowflake, BigQuery, and more.
Path Finding
Automatically discovers join paths and relationship chains between any two tables.
Documentation Layer
Annotate tables and columns, save focused layouts, and embed visual indicators directly in the diagram.
Data Exploration
Browse rows, follow relationships, and inspect data alongside the schema.
Sharing & Embedding
Publish diagrams publicly, share privately with teammates, or embed in documentation.
CLI Support
Command-line interface for scripted exploration, schema extraction, and analysis pipelines.
AI Capabilities
AI-assisted SQL generation and schema understanding across connected databases (Team plan and up).
Pricing
- Schema and data exploration
- Preview database analysis (top 3 suggestions)
- 10 tables in AML design
- 3 databases per project
- No saveable projects
- Everything in Free
- Unlimited database design
- Schema export
- Custom colors
- 3 projects, 10 layouts each
- Billed annually
- Everything in Solo
- Full database analysis
- Collaboration and documentation
- AI capabilities
- Project export
- Up to 5 users, 10 projects, 1,000 doc items
- Billed annually
- Unlimited users, projects, and databases
- User management and SSO
- Custom integrations and API access
- On-premise support
Best For
Onboarding to a large legacy database
New engineers can incrementally explore a huge schema, follow relationships, and build focused layouts that document the parts of the system relevant to their work.
Database documentation for teams
Annotate tables and columns, save layouts per domain, and share or embed diagrams so the whole team has a single source of truth for the data model.
Schema auditing and tech debt cleanup
Run Azimutt's linter against a production schema to surface missing primary keys, missing foreign keys, and inconsistent column types as a prioritized backlog.
Cross-database investigation
Connect relational and document databases in one project to trace how data flows across services during bug investigations or integration work.
Database design with AML
Model new features as code in AML, iterate quickly with version control, and visualize the result without leaving the editor.
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