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

Coming soon

SqlDBM + Teradata Vantage

Anticipated Teradata Object Support

SqlDBM is actively exploring Teradata objects and capabilities to support for enhanced Teradata database modeling and design

Tables

Views

Primary indexes

Join indexes

Indexes

Referential integrity

Triggers

Stored procedures

Macros

User defined functions

Reverse engineer your teradata databases

Seamlessly transform your existing Teradata databases into comprehensive ER diagrams with SqlDBM’s reverse engineering capabilities. This allows you to visualize and understand the structure of your data more effectively, facilitating better analysis and optimization of your data architecture.

Collaborate with peers and stakeholders

Enhance your data modeling process with Concurrent Working, enabling team members and stakeholders to work concurrently within a structured, branch-based methodology. This approach not only accelerates project timelines but also incorporates flexibility and maintains organizational standards, ensuring high-quality results. Empower your team to collaborate, share feedback instantly, and streamline modeling processes across your data practice.

Data model across domains

Embrace the power of decentralized data practices with Global Modeling. Designed for organizations adopting Data Mesh principles, this feature enables domain-specific modeling with the autonomy necessary for individual teams, while ensuring interoperability across the enterprise. With features like Global Reference, Global Search, Global Standards, and Global Lineage, SqlDBM provides a robust framework for managing data objects across different domains. Leverage these capabilities to maintain coherence, ensure design integrity , and enhance collaboration, allowing your teams to reference and utilize data assets they don’t directly control. Streamline your data architecture to support moderndata practices.

DDL management through Git

Integrate your DDL scripts seamlessly into your existing workflows with SqlDBM’s Git integration. Manage and version your database schema changes to maintain consistency and control across your development lifecycle. This feature supports best practices in source control management essential for DevOps teams.

Related materials

Cloud-native data modelling, development and deployment with SqlDBM

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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