Download Microsoft Fabric Lakehouse JDBC Driver

What Is a JDBC Driver?

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.

Understanding the JDBC URL

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.

The Microsoft Fabric Lakehouse JDBC Driver

Microsoft Fabric Lakehouse is a unified data lakehouse platform within Microsoft Fabric that combines the flexibility of data lake storage with the structure and query performance of a data warehouse. It stores data in Delta Lake format on OneLake and exposes a SQL Analytics Endpoint for standard SQL querying using familiar tools. Fabric Lakehouse integrates with Power BI, Azure Synapse, and other Microsoft data services for end-to-end analytics.

The Microsoft Fabric Lakehouse JDBC URL

  • Required File(s): mssql-jdbc-xxx.jar
  • Java Driver Class: com.microsoft.sqlserver.jdbc.SQLServerDriver
  • JDBC URL: jdbc:sqlserver://{HOST}:1433;database={DB};authentication=ActiveDirectoryPassword;encrypt=True
  • Website: Microsoft Fabric Documentation

Microsoft Fabric Lakehouse provides a SQL Analytics Endpoint accessible via the SQL Server JDBC driver on port 1433. Authentication requires Azure Active Directory credentials. The connection string is available from the Fabric workspace settings. Use encrypt=True;trustServerCertificate=False for production connections.

DbSchema and Microsoft Fabric Lakehouse

DbSchema connects to Microsoft Fabric Lakehouse via the SQL Analytics Endpoint using the SQL Server JDBC driver, enabling visualization of Delta Lake table schemas, SQL query execution against Fabric Lakehouse data, and schema documentation for enterprise data lakehouse architectures.

DbSchema Database Designer

Test the JDBC Driver using DbSchema

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1
Install DbSchema in minutes

DbSchema is free. Download the installer for Windows, macOS, or Linux and start DbSchema. No signup required.

2
Connect or open a sample

Reverse engineer an existing database or open a sample model to explore tables, relations, and indexes visually.

3
Design, document, deploy

Edit your schema, generate interactive documentation, and roll out reviewed changes across environments.

Explore Microsoft Fabric Lakehouse Visually with DbSchema

Once the JDBC driver is configured, DbSchema connects to your Microsoft Fabric Lakehouse 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.

Interactive ER Diagrams

Reverse-engineer your Microsoft Fabric Lakehouse 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.

Interactive ER diagram for Microsoft Fabric Lakehouse in DbSchema

Visual Query Builder

Compose Microsoft Fabric Lakehouse 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.

Visual query builder for Microsoft Fabric Lakehouse in DbSchema

Relational Data Explorer

Browse Microsoft Fabric Lakehouse 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.

Relational data explorer for Microsoft Fabric Lakehouse in DbSchema

Schema Synchronization

Compare your Microsoft Fabric Lakehouse 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.

Schema synchronization for Microsoft Fabric Lakehouse in DbSchema

SQL Editor

Write and execute Microsoft Fabric Lakehouse 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.

SQL editor for Microsoft Fabric Lakehouse in DbSchema

HTML Schema Documentation

Generate a static HTML site documenting every table, column, type, index, and relationship in your Microsoft Fabric Lakehouse schema. Share it with your team or embed it in your project wiki — no extra tooling required.

Schema documentation generator for Microsoft Fabric Lakehouse in DbSchema

For the full feature list and edition comparison, visit the DbSchema PRO Edition page.

Go deeper with Microsoft Fabric Lakehouse in DbSchema

ER diagrams, Git-based versioning, random data generator, and HTML schema docs.