SqlDBM — Analytics & Data

What is SqlDBM?

SqlDBM is a modern, cloud-based data modeling platform designed for enterprise teams. It provides a collaborative environment for conceptual, logical, and physical data modeling, with support for both cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse, Amazon Redshift, Microsoft Fabric) and traditional databases (PostgreSQL, SQL Server, Oracle, AlloyDB, MySQL).

What problem does it solve?

Data teams often struggle with siloed modeling, inconsistent naming conventions, and maintaining documentation. SqlDBM solves this by offering a unified platform with version control, model governance, and global standards enforcement. It also includes a semantic layer to ensure both human users and AI agents understand data consistently, reducing misinterpretation and errors.

Who is it for?

SqlDBM is best for data architects, data engineers, and analytics teams in mid-to-large enterprises that need robust data modeling with governance and collaboration. It is not ideal for small teams or individuals looking for a free, simple diagramming tool; they might prefer lighter alternatives.

Real use cases

Use SqlDBM to design a new data warehouse schema for Snowflake, reverse-engineer an existing SQL Server database, or manage model documentation for compliance. Its AI Copilot assists with generating schemas and suggesting indexes, and integrations with Confluence and Jira help keep documentation in sync with development.

• AI Copilot — Generate schemas, modify relationships, and suggest indexes to speed up modeling.
• Semantic Layer — Add a governed semantic model to ensure consistent data meaning for AI agents and business users.
• Global Standards — Enforce naming rules, data types, and conventions across projects.
• Version Control — Track changes with branching and merging for concurrent team work.
• Reverse Engineering — Automatically create models from existing databases.
• Model Governance — Tiered access control and collaboration with view-only consumer roles.
• Integrations — Connect with Confluence, Jira, Git, and dbt for seamless workflow.

SqlDBM pricing: Contact sales (custom quote).

For comparison: the median starting price in Analytics & Data is $39/month, measured across 274 tools we track. See the full SaaS Pricing Index →

Custom Enterprise Pricing

SqlDBM pricing is available by contacting sales. The platform includes: data modeling (conceptual, logical, physical), reverse/forward engineering, version control, and collaboration. Add-ons like SSO, customer-hosted storage, and regional storage are optional.

SqlDBM offers a free trial — you can "Try modeling now" on their website.

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