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
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
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.
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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.
Integration with web apps, git repositories, and
databases through secure native connectors.
by Serge Gershkovich (Author), Kent Graziano (Foreword)
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By bringing your existing DB/DW to SqlDBM, you can automatically create a database model that will provide powerful and effective visualization. Make changes and generate new SQL scripts including alter scripts.
Securely connect to cloud databases such as Snowflake and Azure Synapse directly from SqlDBM to browse schemas and retrieve DDL automatically.
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Visualize sources, joins, transformations, and outputs in real-time at column level to understand complex views and DML logic quickly. Syntax to column highlighting in the editor and diagram allows users to track any field as it flows from the sources to final output.
Comments are read from DDL and available on a single screen where users can find and edit objects across the entire project. Flags help identify sensitive fields and can be used for tracking and filtering at the object or column level.
Work concurrently and comment on any object tagging and alerting specific team members. View modes allow users of any technical level to view, explore, or develop a DB schema without converting the project.
Compare project revisions to live DB environments and generate ad-hoc alter scripts between them. Pair your project with any online git repository to automatically push alters or individual objects to new branches and pair with CICD tools like Schemachange or Flyway for fully automated deployments.
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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’s Enterprise plan allows users to go beyond modeling by offering integrations like Confluence for sharing and Jira for task management. Enterprise also unlocks team communication, alerts, and governance as well as time-saving features like view-column lineage and suggested relationships.
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“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