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
Greenlight Biosciences is a biotechnology company headquartered in Medford, Massachusetts that specializes in RNA research. The data analytics management team recently decided to push full steam ahead into the cloud – replacing a legacy SQL Server data warehouse with Snowflake and adding a Synapse data lake.
To help speed up the migration and documentation process, Greenlight looked to replace their previous modeling tool – Erwin Data Modeler. It was an installable solution that didn’t afford the flexibility and convenience of the cloud. They needed a tool that would allow them to quickly iterate database designs and share them with the relevant stakeholders. That’s where SqlDBM comes in – Greenlight split the work across three teams – the architects, the data engineers, and the BI engineers – one of which designed the models, the other implemented the models, and the other referenced the models.
When GreenLight Biosciences decided to modernize its data landscape by migrating to the Snowflake Data Cloud, its first step was to look for a modeling tool that was intuitive and web-based, but still robust. SqlDBM ticked all those boxes by offering native support for both their SQL Server and Snowflake databases, allowing automated DDL conversion between the two.
SqlDBM’s project conversion feature saved GreenLight’s engineers weeks of labor by automatically converting their existing SQL Server model into Snowflake and achieving a 99% conversion success rate. Not only did SqlDBM accelerate the migration to Snowflake, it gave GreenLight’s team an all-in-one resource to scale future designs via an integrated data dictionary, version control, and a model deployment workflow.
Karthikeyan Shanthakumar,
Senior Data Warehouse Architect
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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