At a glance
| Supported databases | Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, Microsoft Fabric, PostgreSQL, SQL Server, Oracle, AlloyDB, MySQL |
| ER diagrams and notation | Conceptual, logical and physical models |
| Reverse engineering | Yes, by direct connection or DDL upload |
| Forward engineering (DDL) | Yes, plus alter scripts between revisions |
| Collaboration | Concurrent editing, comments, approval workflows, view-only consumer users, Git integration |
| Deployment | SaaS on AWS; optional customer-hosted or regional storage |
| Licensing | Per user, all features included, AI credits extra; no public prices |
SqlDBM fits analytics and data engineering teams that model warehouses on cloud data platforms and want shared, browser-based models tied to Git, dbt and documentation. It is sold per user with every feature included but no public prices, so it is a sales-led purchase rather than a tool for a quick personal diagram.
Overview
SqlDBM is an online data modelling platform that runs in the browser, so there is nothing to install. It covers conceptual, logical and physical modelling, reverse engineering from a database connection or uploaded DDL, forward engineering to DDL and alter scripts that capture changes between model revisions. The vendor groups its supported targets into analytical platforms (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, Microsoft Fabric) and transactional databases (PostgreSQL, SQL Server, Oracle, AlloyDB, MySQL).
Teams work on shared models concurrently, comment, and use approval workflows, while view-only consumer users read documentation and HTML reports. SqlDBM states that it runs on AWS, is SOC 2 Type II certified and works with metadata (DDL) only; SSO and customer-hosted or regional storage are optional.
Key features
- Conceptual, logical and physical modelling in one browser-based project
- Reverse engineering through a direct connection or DDL file upload
- Forward engineering and alter scripts generated from differences between model revisions
- Version control, branching and merging, with Git integration for CI/CD workflows
- Integrations with dbt, Confluence, Jira, Collibra, Atlan and Alation, plus a GET and POST API
- View-only consumer users, team commenting and approval workflows
- AI Copilot and MCP connectivity, billed separately through AI credits
Pros and cons
Pros
- Nothing to install; models are shared in the browser
- Strong focus on cloud data platforms such as Snowflake, Databricks and BigQuery
- Single per-user plan with all non-AI features included
- Git, dbt and documentation integrations for analytics engineering workflows
Cons
- No public prices; a quote is required
- SaaS only, unless you arrange the optional customer-hosted or regional storage
- AI features are billed separately from the seat price
Pricing
SqlDBM prices per user with a single plan: all modelling, collaboration, integration and governance features are included, with no tiers or add-on modules. AI Copilot usage and AI credits are priced separately, and Premium Support is an optional extra. No prices are published; you request a quote from sales.
Pricing checked on the vendor's official page on 7 November 2026. Prices change; confirm before buying.
Who it is best for
Data and analytics engineering teams modelling warehouses on Snowflake, Databricks, BigQuery or similar platforms who want shared, versioned models in the browser.
Who should look elsewhere
- Individuals who want a free or low-cost diagram tool: dbdiagram.io and DrawSQL have free plans.
Verdict
SqlDBM is a credible choice for teams that model cloud data platforms and want collaboration, versioning and Git and dbt integration without desktop software. The all-included per-user plan is simple, but the lack of public prices and the separate AI billing make a sales conversation unavoidable.
Frequently asked questions
Is SqlDBM a desktop application?
No. SqlDBM is a cloud SaaS platform used in the browser. The vendor lists customer-hosted or regional storage as an optional enterprise feature.
How is SqlDBM priced?
Per user, with all features in one plan and no tiers. AI Copilot usage and AI credits are priced separately. Prices are not published, so you request a quote.
Can SqlDBM reverse-engineer an existing database?
Yes. SqlDBM states that it can reverse engineer through a direct connection or a DDL file upload, and it generates forward-engineering DDL and alter scripts.
Sources
- SqlDBM home page
- SqlDBM pricing and feature list
- SqlDBM for database developers (reverse engineering and alter scripts)
Checked November 2026.
How we research reviews and what star ratings mean: our editorial method.