A JDBC driver is a Java library file (.jar) that enables Java applications to communicate with a database. The JDBC is a standard interface implemented by each database with a specific driver. Drivers are typically distributed by the database vendor or as open-source projects.
The connection parameters including the database location, database name and connection method are passed to the driver using the JDBC URL. The JDBC URL is a text starting with 'jdbc:...' which combines the hostname, port, database name, and any driver-specific parameters. The exact syntax can be different for each JDBC driver.
Microsoft Dataverse is a cloud-based data platform that underlies Microsoft Power Apps, Power Automate, and Dynamics 365, providing a secure and scalable data storage service for business applications. It exposes a TDS (Tabular Data Stream) endpoint allowing read-only T-SQL queries against Dataverse tables using standard SQL tooling. Dataverse supports complex data models including relationships, business rules, and role-based access control.
Microsoft Dataverse exposes a TDS (Tabular Data Stream) endpoint on port 5558 that accepts read-only T-SQL queries. Authentication is via Azure Active Directory (Azure AD). Use authentication=ActiveDirectoryPassword or authentication=ActiveDirectoryInteractive in the JDBC URL. The TDS endpoint is available for Dataverse environments in Power Apps.
DbSchema connects to Microsoft Dataverse via the TDS endpoint using the SQL Server JDBC driver, enabling visualization of Dataverse table schemas, running read-only T-SQL queries against Dataverse data, and documenting Power Platform data structures for enterprise governance.
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DbSchema is free. Download the installer for Windows, macOS, or Linux and start DbSchema. No signup required.
Reverse engineer an existing database or open a sample model to explore tables, relations, and indexes visually.
Edit your schema, generate interactive documentation, and roll out reviewed changes across environments.
Once the JDBC driver is configured, DbSchema connects to your Microsoft Dataverse database and gives you a full graphical workbench — no command-line required. Available as a free Community Edition and a full-featured PRO Edition. No registration needed to get started.
Reverse-engineer your Microsoft Dataverse schema into a drag-and-drop ER diagram. Arrange tables visually, add new columns, define foreign keys, and let DbSchema generate the DDL — all without writing SQL by hand.
Compose Microsoft Dataverse queries by clicking on tables and columns — no SQL knowledge required. Add joins, filters, groupings, and aggregations through a point-and-click interface, then copy the generated SQL or run it directly against the live database.
Browse Microsoft Dataverse table data and follow foreign key relationships across tables in a single view. Edit cells inline, filter rows, and paginate through large datasets — all without leaving the explorer.
Compare your Microsoft Dataverse schema across development, staging, and production environments. DbSchema generates the exact ALTER statements needed to close the gap and lets you review every change before executing — reducing the risk of unintended schema drift.
Write and execute Microsoft Dataverse queries in the integrated SQL editor with schema-aware autocomplete, syntax highlighting, and instant result display. Run scripts, inspect execution plans, and export results to CSV or JSON from a single interface.
Generate a static HTML site documenting every table, column, type, index, and relationship in your Microsoft Dataverse schema. Share it with your team or embed it in your project wiki — no extra tooling required.
For the full feature list and edition comparison, visit the DbSchema PRO Edition page.
ER diagrams, Git-based versioning, random data generator, and HTML schema docs.