Design data models together in the cloud and share them with your team in different formats, based on your subscription plan, without any coding or conversion.
Use natural language for data modeling tasks
Create and manage business metadata using a dedicated project role
Track and get notified of schema changes in live database environments

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

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement
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
Use natural language for data modeling tasks
Create and manage business metadata using a dedicated project role
Track and get notified of schema changes in live database environments
Trusted by
400,000+
data teams globally
SqlDBM’s templates, naming conventions, and logical to physical translations are built to ensure consistency and time savings in repeatable operations such as the creation of hubs, links, satellites, and bridge tables.
In 2019, SqlDBM became the first online modeling tool to support Snowflake projects and has continued to add support for Snowflake’s latest objects, such as views, functions, and procedures. The ability to natively modify, track, reverse/forward engineer Snowflake objects, and display them on a diagram is why over 300 Snowflake clients use SqlDBM.
Your databases, repositories, and tools all connected through secure native connectors, so your governed model stays current everywhere it matters.
by Serge Gershkovich (Author), Kent Graziano (Foreword)
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Design across every layer (conceptual, logical, physical, and semantic) in one connected workspace. Build the model in one place. Every downstream system inherits what you defined.

Connect directly to Snowflake, Databricks, BigQuery, and more. Reverse engineer your existing schema in seconds and start modeling from where you are. No manual export required.

Trace exactly which objects depend on a column, where a metric is defined, and what breaks if something changes. Answered against your governed model, not inferred from raw schema.

Set naming conventions, enforce design standards, and govern schema change before it reaches production. Definitions are established at the source, so every downstream consumer works from the same controlled baseline.

Your entire data team works in one model simultaneously. Changes are visible, reviewable, and controlled with parallel branches and merge comparison so nothing goes live unseen.

Push DDL scripts, alter scripts, dbt source YAML, and dbt model YAML directly to Git. Manage dev, stage, and prod environments as first-class objects. Schema changes ship like code: versioned, reviewed, and auditable.

SqlDBM supports Azure Synapse modeling with extended support for views, functions, procedures, and more. Using SqlDBM’s virtual suggested relationships feature, Synapse customers can relationally link and explore their entire landscape without using foreign keys.
SqlDBM gives every role in your data organization the right level of access: architects who design, engineers who build, consumers who explore, and governance leads who set the standards. Everyone works in the same governed model, with changes that are visible, reviewable, and controlled.
Connects natively to your identity providers and database platforms through secure SSO. Access is managed where you already manage it.
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Hundreds of data organizations worldwide trust SqlDBM as the foundation for their data architecture. See how they’re using it to govern definitions, ship schema changes with confidence, and build the foundation their AI stack depends on.
“I worked with a variety of modeling tools over my career and there’s a whole gamut of features that have their audiences in certain communities, but I think what SqlDBM has is a very practical collection of features and functionality.”
David Sipos,
Director of Data Infrastructure, Higginbotham
“Pandata Group has assisted many customers in their pursuit of digital transformation through effective data management. Our evolution towards pure cloud solutions such as Snowflake and Thoughtspot reflects the growth of the SaaS approach to data and analytics platforms. We have increased time-to-value by deploying zero-management solutions that support cloud DW and analytics (e.g. Matillion ETL).”
Joseph Caparula,
Senior Consultant, Pandata Group
“There’s ambiguity in any organization. Exposing the data model, the data dictionary, and definitions from a single place to business analysts and the rest of the organization helps everyone stay aligned.”
Justin Lane,
Data Modeler, Model Governance Manager, Safety Culture
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The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement
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
Create and manage business metadata using a dedicated project role
Track and get notified of schema changes in live database environments