SqlDBM

What is SqlDBM?

A pure-play, cloud-native data modeling tool designed specifically for architectures like Snowflake, Databricks, and Azure.

SqlDBM is a cloud-based Data Architecture Platform designed to allow teams to develop, govern, and share data models in a collaborative environment. The solution supports conceptual, logical, physical, and semantic data modeling without requiring manual file conversions.

Key Capabilities

Collaborative Data Modeling: Allows multiple users to design across every layer (conceptual, logical, physical, and semantic) within a single connected workspace.
Reverse Engineering: Enables users to connect directly to existing databases and automatically generate a visual schema for documentation and analysis.
Git Integration: Supports pushing DDL Scripts, alter scripts, and dbt YAML files directly to version control to manage development, staging, and production environments.
Model Governance: Provides a dedicated project role to create and manage business metadata, establishing definitions and design standards at the source.
Schema Monitoring: Tracks and sends notifications for schema changes within live database environments.
AI Copilot: Integrates a natural language interface for executing data modeling tasks.

Audience & Use Cases

Audience: Data Architects, Database Developers, Data Engineers, and Governance Leads.
Use Case: Designing new cloud data warehouse schemas, reverse engineering existing databases for documentation, and managing schema changes through version control.

Technical Specifications

Supported Platforms: Snowflake, Databricks, Google BigQuery, Amazon Redshift, Azure Synapse, and Microsoft Fabric.
Integrations: dbt, Confluence, Jira, and native Git providers.
Deployment: Cloud-based (SaaS).