Cloud data modeling platform for Snowflake, BigQuery, Databricks, and Redshift
SqlDBM is a cloud-native data modeling platform with native connectors to major cloud warehouses (Snowflake, Databricks, BigQuery, Redshift). The engineering-heavy hiring mix and active projects reveal a company in transition: migrating legacy ASP.NET to .NET Core while embedding AI into core modeling workflows — suggesting a shift toward AI-assisted design and multi-cloud operational scaling.
Notable leadership hires: Engineering Lead
SqlDBM provides collaborative data modeling for enterprise teams using leading cloud data warehouses. The platform connects directly to Snowflake, Databricks, Google BigQuery, Microsoft Fabric, and AWS Redshift, enabling data engineers and architects to design, visualize, and manage database schemas in a web-based IDE. Founded in 2017, the company operates from San Diego with 51–200 employees. Sales and support are lean; the organization is engineering-focused, with active development on platform scaling, AI-assisted workflows, and infrastructure migration.
SqlDBM has direct connections to Snowflake, Databricks, Google BigQuery, Microsoft Fabric, and AWS Redshift, plus support for PostgreSQL and MySQL.
SqlDBM is migrating from ASP.NET to .NET Core and adopting .NET Core as its primary framework, with Cursor as a development tool.
SqlDBM's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.