Plugins and integrations
Natively connect SqlDBM to web service apps and database providers through secure single sign-on protocols.
Developer Workflow
Your data model belongs in version control alongside the code that depends on it. These integrations send generated DDL and dbt YAML into the repository your team already uses, so schema changes inherit the review, approval and pipeline rules you’ve already set.
GitHub
Version control your DDL, create, and alter scripts directly in GitHub.
GitLab
Version control your DDL, create, and alter scripts directly in GitLab.
Bitbucket
Version control your DDL, create, and alter scripts directly in Bitbucket.
Azure DevOps
Version control your DDL, create, and alter scripts directly in Azure DevOps.
AWS CodeCommit
Version control your DDL, create, and alter scripts directly in AWS CodeCommit.
dbt
Push dbt source and model YAML straight from your relational model.
Data Platforms
SqlDBM models each platform in its own dialect, with the physical properties that make it behave the way it does — not a generic table with columns. Bring an existing schema in by connecting directly or uploading its DDL, and generate native scripts back out when it changes.
Snowflake
Native connection to Snowflake — reverse-engineer schemas and push forward-engineered DDL.
Databricks
Connect to Databricks workspaces — Unity Catalog support and Delta Lake compatibility.
Google BigQuery
Model BigQuery datasets and tables — generate forward-engineered SQL for deployment.
Azure Synapse
Direct integration with Azure Synapse Analytics for end-to-end modeling workflows.
Amazon Redshift
Reverse-engineer Redshift clusters and push back governed DDL changes.
Microsoft Fabric
Connect to Microsoft Fabric lakehouses and warehouses for unified modeling.
Teradata
Model Teradata’s physical properties natively — MULTISET, FALLBACK, journaling and more.
External visibility
Most of the people who need to understand your data model will never open a modeling tool. These integrations put it where they already are — embedded in the documentation they read, attached to the tickets that drove the change, and synced into the catalog your governance team works from.
Confluence
Embed live data models into Confluence pages — single source of truth for documentation.
Jira
Link modeling tasks to Jira tickets — track schema changes alongside engineering work.
Single Sign-On
Access to SqlDBM follows the identity provider you already run, so there’s no separate user list to maintain. People are granted and removed centrally, which means the day someone leaves the organization is the day they lose access to the model.
Google Workspace
Single sign-on via Google Workspace identity provider with SCIM provisioning.
Microsoft Entra ID
Single sign-on via Microsoft Entra ID (formerly Azure AD).
AWS IAM Identity Center
Single sign-on via AWS IAM Identity Center.
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