Azimutt

What is Azimutt?

Azimutt is a comprehensive database explorer designed to help teams and individuals navigate, document, and optimize large and complex databases. It offers a modern entity-relationship diagram (ERD) that scales with real-world databases, enabling users to incrementally build layouts, follow table relations, and find paths between tables. Azimutt supports schema design using a minimal DSL called AML, provides rich documentation features like notes and tags on tables and columns, and includes analysis tools to detect inconsistencies and suggest improvements. It works with both relational and document databases and supports collaboration through shared layouts and memos. Azimutt is suitable for developers, data analysts, DBAs, and managers aiming to improve database understanding and team efficiency.

Key Features

• Scalable ERD Visualization

  Create clear, customizable diagrams that handle large databases by selectively displaying tables, columns, and relations.

• AML Schema Design

  Design and modify database schemas quickly using a minimal, intuitive domain-specific language.

• Comprehensive Documentation

  Add notes, tags, and memos directly on tables and columns to document the database context and share knowledge.

• Schema Analysis and Linting

  Automatically detect schema inconsistencies and receive actionable suggestions to improve database design.

• Relation-Based Exploration

  Navigate databases by following relationships between tables and find optimal paths for queries.

• Multi-Database Support and Collaboration

  Connect to various database types, collaborate with team members via shared layouts, and embed diagrams externally.

Use Cases

• Onboarding New Team Members : Help developers and analysts quickly understand existing complex databases through visual exploration and documentation.
• Database Design and Modeling : Design new schemas or modify existing ones efficiently using AML and scalable ER diagrams.
• Bug Investigation and Support : Navigate data relations and schema details to diagnose issues and answer support queries faster.
• Database Documentation and Knowledge Sharing : Maintain up-to-date, contextual documentation accessible to technical and operational teams.
• Database Optimization and Quality Assurance : Identify design flaws and enforce best practices through automated schema analysis and linting.

FAQs