Azimutt

Azimutt is a database exploration and documentation tool for understanding and managing databases. Its ERDs let users select which tables, columns, relations, and ordering to show, and its data exploration follows relationships to access real data on demand. For schema design, Azimutt provides AML, a minimal domain-specific language. Documentation includes table and column notes, layout memos, and visual indications; analysis can flag schema inconsistencies and possible improvements. Connectors are listed for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, MongoDB, Couchbase, BigQuery, and Snowflake. For databases without a listed connector, users can import a JSON-formatted schema; the CLI includes JSON schema inference. The maker says schema parsing happens in the browser, projects can stay local, and the product can be self-hosted. The site says Azimutt is made and hosted in the EU, while its privacy policy says personal data is hosted on DigitalOcean servers in the United States. A free plan is available; Solo costs €7 a month when billed annually. Free has no long-term save, and the listed maximum project count is zero.

Azimutt offers database exploration, schema design, and documentation, with a free plan and paid options. Review the free plan’s save and project limits before choosing it.

Azimutt names developers, architects, DBAs, data analysts, product managers, and tech support among its intended users, including teams working with large databases.

Azimutt combines database diagrams, schema design, documentation, analysis, and data browsing in a single tool. It is best suited to developers, DBAs, architects, analysts, and product teams working with large or complex databases. Its broad schema toolkit is a strong fit for continuing database work, but the free plan does not preserve projects long term.

Overview

Azimutt helps teams understand and manage databases by turning schemas into focused, navigable views. Users can choose the tables, columns, and relations shown in an ERD and set their order, a practical way to make large schemas more readable without treating the whole database as one diagram. The product also supports designing schemas, recording documentation, spotting inconsistencies, and exploring real data on demand.

Schema parsing happens in the browser, and projects can be kept local or self-hosted. Azimutt says it is made and hosted in the EU; its privacy policy says personal data is hosted on DigitalOcean servers in the United States and refers to GDPR compliance. Those are distinct considerations for organizations assessing deployment and data location.

Key features

Design, documentation, and analysis

Azimutt’s AML is a minimal domain-specific language for database design, giving users a way to describe a schema as well as inspect one. Table and column notes, layout memos, and visual indications help preserve context around a design. Schema analysis points out inconsistencies and possible improvements, which makes the tool more useful for review than a diagram-only workflow.

Exploration and compatibility

Users can follow database relations to navigate data and access real records on demand. Connectors cover PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, MongoDB, Couchbase, BigQuery, and Snowflake. For a database without a listed connector, users can import a JSON-formatted schema; the CLI also includes JSON schema inference. That fallback broadens the range of schemas teams can bring in, though it is not the same as a native connector.

Pricing

Azimutt is freemium, with a free plan and paid plans starting at €7/mo (annual). The free plan costs nothing and allows unlimited tables, schema and data exploration, one user, three databases per project, and two layouts per project. But it has no long-term save and sets the maximum project count to zero, so it is best treated as a way to explore rather than maintain saved work.

Solo costs €7 a month, billed annually. It adds database design and schema export, supports one user and three projects, and raises the allowance to three databases per project, 10 layouts per project, and 40 tables per layout. It suits an individual who needs saved design work, but does not include the database analysis, collaboration, documentation, or AI capabilities offered at the next tier.

Team costs €35 a month, billed annually, per user. It adds database analysis, collaboration, documentation, AI capabilities, and project export, with a maximum of five users, 10 projects, 10 databases per project, 50 layouts per project, and 100 tables per layout. This is the relevant tier for a small group sharing schema work; the per-user charge and five-user ceiling are important budget and scale limits. Enterprise has custom pricing and offers unlimited usage, user management, custom integrations, and on-premise support, making it the option for organizations that need those controls or deployment support.

A free trial is available. Support is offered through Slack, documentation, GitHub issues, and email; Enterprise includes priority email support with a stated 48-hour response.

Platforms

Azimutt is available on web and Linux, with API, extension, and self-hosted options. Its hybrid deployment model, local project option, and browser-based schema parsing give teams flexibility, though organizations should distinguish project storage choices from the stated US hosting of personal data.

Who it's for

Azimutt is a good match for developers, architects, DBAs, data analysts, product managers, and tech support staff who need to inspect or document databases, particularly in companies with large schemas. Solo is more appropriate for an individual who needs saved design work; Team is the better fit when analysis, shared documentation, and collaboration matter. Someone who only needs persistent project storage without the higher-tier team features should compare the Solo limits carefully.

Pros and cons

• Pros: Focused ERDs let users choose tables, columns, relations, and ordering, helping make large schemas more manageable.
• Pros: Design, documentation, analysis, and relation-based data exploration cover more of the schema workflow than diagrams alone.
• Pros: Nine named database connectors plus JSON schema import and CLI inference provide multiple paths for bringing schemas into the tool.
• Cons: The free plan has no long-term save and a zero-project maximum, so it cannot serve as a durable workspace.
• Cons: Team is billed per user and capped at five users, while Enterprise is needed for unlimited usage and on-premise support.
• Cons: EU product hosting does not mean personal data is hosted in the EU; the privacy policy places it on US DigitalOcean servers.

Alternatives

For other options, see Database Documentation Tools. Choose MySQL instead when you want its SQL and NoSQL applications, replication and high-availability components, and connectors. tbls is a free, MIT-licensed single-binary CLI for readers who prefer that format. DataDocs offers a freemium web option with unlimited users on its free tier, one data source, 25 assets, and weekly refresh. dbdocs is another freemium choice, with a free plan for one user that includes public sharing and password protection. dbForge Studio for PostgreSQL is worth considering for PostgreSQL-focused work where code completion, query history, and visual data editing matter. DbSchema offers Community, Pro, and Architect tiers for users comparing schema design options. dbt Semantic Layer is an alternative for teams focused on semantic-layer workflows, with a free Developer tier limited to one developer seat, 3,000 successful models per month, and one project. LLMSchema is another free option.

Verdict

Choose Azimutt if your work spans database exploration, design, documentation, and analysis, especially across large schemas where focused diagrams and relation-based browsing can save effort. Its strongest case is the combination of schema tools and flexible deployment options. Look elsewhere if you need persistent saved projects at no cost, or if EU hosting of personal data is a requirement; the free plan cannot retain long-term work, and personal data is hosted in the United States.