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SqlDBM review

#2 of 34 in Database Design ToolsData Modeling Software

A broad modeling workspace for teams aligning schemas, warehouses, lineage, and documentation.

9.2/10Editor score
SqlDBM9.2 Visit SqlDBM

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

SqlDBM is a browser-based data modeling platform for data architects, database developers, project managers, and enterprise data teams. It covers conceptual, logical, and physical modeling, with reverse engineering from DDL, Excel, or direct database connections. Teams can forward-engineer SQL and alter scripts, generate dbt source and model YAML, and maintain documentation pages, HTML reports, and custom metadata fields. Its web and API availability suits organizations working across cloud data platforms and traditional databases.

Pricing is offered through a contact-sales model. According to the vendor’s pricing page, users can start free without a credit card, while the published pricing approach does not provide numeric plan prices. Buyers should therefore evaluate the commercial model alongside their requirements for collaboration, version control, and integrations rather than comparing fixed public tiers. The platform’s core planning value comes from concurrent modeling, branching and merging, revisions, rollback, and change comparison, which gives teams a structured way to manage evolving schemas.

SqlDBM’s strongest fit is a data organization that needs more than visual diagrams. Column-level lineage, impact analysis, documentation, and custom metadata extend the model into analysis and communication, while integrations include Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse, Microsoft Fabric, SQL Server, PostgreSQL, Oracle, MySQL, Teradata, dbt, GitHub, GitLab, and Bitbucket. Choose it when collaborative warehouse modeling and connected documentation are priorities. A team seeking only a lightweight diagramming tool may find this wider scope unnecessary.

SqlDBM pros and cons

  • Where it wins
    • Supports conceptual, logical, and physical data modeling
    • Combines branching, merging, lineage, and impact analysis
    • Connects with major warehouses, databases, Git, Jira, and Confluence
  • Where it doesn't
    • Pricing requires contacting sales
    • Plan details do not include published numeric prices
    • Its broad feature set may exceed the needs of simple diagramming

SqlDBM fact sheet, pricing and score →

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