SqlDBM
A cloud-native, code-free data modeling platform that connects directly to Databricks Unity Catalog and Hive Metastore. It supports forward and reverse engineering of Delta Lake objects and column-level lineage tracking, with the distinctive value of covering both the physical modeling layer and the semantic modeling layer.
Timeline (last 90 days)
SqlDBM is a cloud-native, no-code data modeling platform that can connect directly to Databricks Unity Catalog and Hive Metastore.
SqlDBM supports forward/reverse engineering of Delta Lake objects, column-level lineage tracking, and visual governance of every schema that AI pipelines depend on.
SqlDBM provides a semantic modeling layer on top of the physical schema, defining business context, metrics, synonyms, filters, and governed joins.
John Holland Group used SqlDBM as the single source of truth for its gold-layer models and completed its Databricks migration in nine months.
SqlDBM is a Databricks certified data partner with more than 400,000 users worldwide, and its customers include DocuSign, Pfizer and Zendesk.
SqlDBM won the Data Breakthrough Awards' Database Modeling Solution of the Year award in both 2023 and 2024.
All Facts (6)
SqlDBM is a cloud-native, no-code data modeling platform that can connect directly to Databricks Unity Catalog and Hive Metastore.
50%UnverifiedSqlDBM supports forward/reverse engineering of Delta Lake objects, column-level lineage tracking, and visual governance of every schema that AI pipelines depend on.
50%UnverifiedSqlDBM provides a semantic modeling layer on top of the physical schema, defining business context, metrics, synonyms, filters, and governed joins.
50%UnverifiedSqlDBM is a Databricks certified data partner with more than 400,000 users worldwide, and its customers include DocuSign, Pfizer and Zendesk.
50%UnverifiedSqlDBM won the Data Breakthrough Awards' Database Modeling Solution of the Year award in both 2023 and 2024.
50%UnverifiedJohn Holland Group used SqlDBM as the single source of truth for its gold-layer models and completed its Databricks migration in nine months.
50%