Build a clearer workflow for Snowflake: reverse engineer existing schemas into interactive ER diagrams, model changes visually, and generate reviewed SQL scripts before deployment.
DbSchema is built for visual modeling, schema documentation, and deployment. Keep an offline model in Git, collaborate across teams, and publish documentation that developers, analysts, and stakeholders can navigate in minutes.
Download DbSchema See Snowflake Features Download Snowflake JDBC Driver · All drivers
Get to your first Snowflake schema diagram in minutes. No account, no credit card.
Download the installer for Windows, macOS, or Linux and launch DbSchema. No signup required.
Reverse engineer an existing Snowflake database or open a sample model to explore tables, relationships, and indexes.
Edit schema visually, generate documentation, and prepare reviewed migration scripts for safer releases.
Snowflake organizes data across accounts, databases, schemas, and tables — a four-level hierarchy that grows complex as your data warehouse scales. DbSchema maps this entire structure into a visual canvas, letting you trace relationships across schemas and databases without switching between Snowflake worksheets. Whether you are a data engineer maintaining hundreds of tables or an analyst learning the warehouse layout, the diagram view provides immediate orientation across the full organization structure.
Download DbSchema Free See Snowflake Features
Watch: designing Snowflake ER diagrams and connecting DbSchema (3 min).
DbSchema's visual query builder lets you construct SELECT statements by clicking tables, joining columns, and setting filters — no SQL required. The generated query runs directly against your Snowflake warehouse and returns results in the built-in data grid.
DbSchema renders your Snowflake schema as HTML documentation with embedded ER diagrams, table definitions, and column descriptions. Export once and share a self-contained reference with analysts, engineers, and stakeholders who do not have direct warehouse access.
The data explorer lets you browse table contents, apply column filters, and paginate through large result sets without writing a query. It is particularly useful when verifying transformations or auditing rows after a data pipeline run.
jdbc:snowflake://account.snowflakecomputing.com/, where the account identifier
matches your Snowflake account URL.db, schema,
warehouse, and role — in DbSchema's connection properties panel,
then connect.
For production environments, key-pair authentication is available by supplying a
privateKey value in the advanced connection properties instead of a password,
eliminating the need to store credentials in plain text.
Give your warehouse a map: download DbSchema free and turn the Snowflake account hierarchy into diagrams and documentation your whole data team can use.
Teams working with Snowflake often use these engines too. Explore dedicated guides and JDBC setup for each.