Provides a cloud-based data modeling platform that enables teams to collaboratively design, visualize, and manage database schemas without coding or manual conversion. It integrates directly with cloud data platforms like Snowflake and BigQuery, automating schema reverse engineering, monitoring, and governance to ensure consistency and streamline database development workflows.
Funding
$17.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Designing, visualizing, and managing database schemas often requires manual coding and conversion, which can be time-consuming and error-prone. Traditional methods lack collaborative features and seamless integration with cloud data platforms, hindering efficient database development workflows.
Solution
SqlDBM provides a cloud-based data modeling platform that enables teams to collaboratively design, visualize, and manage database schemas without coding. The platform integrates with cloud data platforms like Snowflake, Databricks, and BigQuery, automating schema reverse engineering, monitoring, and governance. SqlDBM allows users to develop data models in various modeling styles and formats, facilitating relational modeling and transformational automation within a single project. It also offers features for model governance, such as creating and managing business metadata, and Snowflake schema monitoring to track schema changes in live database environments.
Target Audience
SqlDBM targets data architects, database developers, project managers, BI architects, and consultants who need a collaborative, cloud-based solution for data modeling and database schema management.
Features
- Collaborative data modeling in the cloud with role-based access control
- Direct connection to cloud data platforms including Snowflake, Databricks, BigQuery, Azure Synapse, Amazon Redshift, and Teradata Vantage for reverse engineering
- Transformational modeling capabilities for relational modeling and automation
- Model governance features for creating and managing business metadata
- Snowflake schema monitoring to track schema changes in live database environments
- Integration with web apps, Git repositories, and databases through secure native connectors
- Support for the latest Snowflake features like VARIANT datatype, views, and column lineage
- Ability to generate DDL, alter scripts, and YAML
- Integration with Atlassian Confluence and Jira