AI TOOL PROFILE
Azimutt: Database Explorer and Analyzer
- Software Development
- Data Visualization
- Software Companies
- Database Administrators
- Data Architects
- Developers
- Data Analysts
Pricing
Pricing starts with a Free plan for quick exploration. Paid tiers include a Solo plan at 7€ per month and a Team plan at 35€ per user per month, both billed annually. Enterprise pricing is custom.
At a glance
- Best for
- Software Companies, Database Administrators, Data Architects, Developers, Data Analysts
- Key use cases
- Onboarding New Team Members, Database Schema Design, Relationship Analysis, Schema Optimization
- Integrations
- PostgreSQL, MySQL, SQL Server, MongoDB, Couchbase
- Official website
- Visit Azimutt tools official website
How AI is used
Azimutt is a database exploration and design tool for managing large or complex data environments. To avoid unreadable diagrams, it allows users to incrementally build layouts and choose specific tables and columns to display.
It is designed for technical roles including developers, DBAs, data analysts, and product managers. The tool supports relational and document databases and includes a minimal DSL called AML for designing schemas.
Beyond visualization, it includes a built-in linter that may help identify schema inconsistencies and path-finding tools to locate relationships between tables. It also supports adding contextual documentation to tables and columns.
Buyers should consider their database size; for very small or simple projects, more basic visualization tools may be sufficient.
Key Features
Schema and Data Exploration
Supports searching for tables and columns, following relations, and finding paths between tables.
AML DSL Design
Supports database design using a minimal domain-specific language.
Database Documentation
Provides table and column notes as well as markdown layout memos for visual indications.
Built-in Linter
Analyzes schemas to identify inconsistencies and potential design improvements.
AI-Generated SQL
Supports generating SQL queries using AI capabilities in Team and Enterprise plans.
Schema Export
Supports exporting schemas in SQL, AML, or JSON formats.
Use Cases
Onboarding New Team Members
Helping new developers or analysts understand a complex existing database through exploration and documentation.
Database Schema Design
Designing new database structures using the AML DSL.
Relationship Analysis
Finding paths between tables in large monolith or microservices environments.
Schema Optimization
Using the linter to identify design inconsistencies and maintain database standards.
Integrations
- PostgreSQL
- MySQL
- SQL Server
- MongoDB
- Couchbase
- Snowflake
- BigQuery
FAQ
Which databases are supported by Azimutt?
- Azimutt supports common relational and document databases including PostgreSQL, MySQL, SQL Server, MongoDB, Couchbase, Snowflake, and BigQuery via connection URLs or JSON imports.
What is the difference between the Solo and Team plans?
- The Solo plan (7€/mo) is for personal usage with one project, while the Team plan (35€/user/mo) adds collaboration, AI capabilities, and project exports.
How does Azimutt handle large databases differently than standard ERD tools?
- Instead of showing all tables at once, Azimutt allows users to search for specific tables and incrementally add them to a layout.
Source category: Software Development
Source subcategory: Data Visualization
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