Azimutt
by Azimutt · Database explorer, ERD and analyser for large schemas
BenchRank score
Screenshots of Azimutt
Homepage
Overview
Azimutt is an entity-relationship tool for exploring, documenting, designing and analysing databases. You connect a database URL, load a SQL file or use a sample, then build layouts incrementally with search, relation following and path finding. It adds notes, tags and memos for documentation, and rule-based checks for schema and runtime issues.
- Best for
- Teams reverse-engineering and documenting large or microservice-spread databases.
- Pricing
- Free tier, then Solo at €7/month and Team at €35/user/month billed annually, with custom Enterprise pricing.
- Runs on
- WebBrowser extensionCLI
Strengths and trade-offs
Strengths
- Explores schema and data from a connection URL or SQL file
- Works with PostgreSQL, MySQL, SQL Server, MongoDB, BigQuery
- Open source, parses schema in-browser, self-hosting possible
- Free tier and CLI usage need no signup
Trade-offs
- Free plan saves no projects; layouts capped at 10 tables
- AI features, documentation and analysis need the €35/user Team plan
- API access, SSO and sharing are Enterprise-only
- Vendor says cheaper tools suffice for small or simple databases
How Azimutt markets itself
A structured read of the promise, proof and page design on Azimutt’s captured homepage.
Homepage capture
“Seamless exploration for large & complex databases”
- Angle: Outcome / benefit-led
- Hero: Terminal / CLI
Pricing
Published plans and prices from Azimutt’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Azimutt pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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