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Listicler
Azimutt

Azimutt

Seamless exploration for large & complex databases

Founded
2021
Starting Price
Free
Category
Developer Tools
Company Size
1-10 employees
Last updated May 21, 2026

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

Free
Free
  • Schema and data exploration
  • Preview database analysis (top 3 suggestions)
  • 10 tables in AML design
  • 3 databases per project
  • No saveable projects
Solo
€7/month
  • Everything in Free
  • Unlimited database design
  • Schema export
  • Custom colors
  • 3 projects, 10 layouts each
  • Billed annually
Team
€35/user/month
  • 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
Enterprise
Custom
  • 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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