Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

SqlDBM + Azure Synapse

Modernizing relational modeling for Azure Synapse with direct connect and native object support

Supports Azure on Microsoft Fabric and direct hosted

Azure Synapse object support

SqlDBM supports Azure Synapse objects and their native properties

Tables

Procedures

Views

Functions

Constraints

Distribution

Indexes

Partition

Connect to your Synapse instance in seconds

A true cloud solution, SqlDBM offers Direct Connect to Synapse and allows users to reverse engineer entire schemas with just a few clicks. No drivers or desktop clients required.

Support for native Synapse object properties

SqlDBM’s virtual relationships behave like foreign keys but live as non-DDL metadata. With virtual relationships, users can explore entity relationships and highlight the participating columns.
Use the Suggested Relationships feature to detect constraints and get up and running in just a few clicks.

No foreign key,
no problem

SqlDBM projects are custom-built to handle the native properties of the databases we support.
This means you can expect to find all the physical object properties you rely on, like indexing, distribution options, and partitions.

Related materials

Cloud-native data modelling, development and deployment with SqlDBM

related-video

sqlDBM - Online-modeling Platform for Relational Databases

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Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments