Download Apache Drill 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 Apache Drill JDBC Driver
Apache Drill is a distributed SQL query engine for NoSQL and cloud storage, enabling standard SQL queries over Hadoop, HBase, MongoDB, Amazon S3, Azure Blob Storage, and more — all without defining schemas upfront. Its schema-free approach uses a dynamic data model at query time.
The Apache Drill JDBC URL
- Required File(s): drill-jdbc-all-xxx.jar
- Java Driver Class: org.apache.drill.jdbc.Driver
- JDBC URL: jdbc:drill:zk=HOST[:PORT]
- Website: Apache Drill
Download Apache Drill JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager. Alternatively you may download the Apache Drill driver from this link. Download the tar.gz, unzip and use the file drill-jdbc-all-xxx.jar.
DbSchema and Apache Drill
DbSchema connects to Apache Drill via the JDBC driver and renders the inferred schemas of the underlying data sources as queryable tables. Use the SQL Editor to write Drill SQL with dynamic column discovery and nested data flattening.
Test the JDBC Driver using DbSchema
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Install DbSchema in minutes
DbSchema is free. Download the installer for Windows, macOS, or Linux and start DbSchema. No signup required.
Connect or open a sample
Reverse engineer an existing database or open a sample model to explore tables, relations, and indexes visually.
Design, document, deploy
Edit your schema, generate interactive documentation, and roll out reviewed changes across environments.
Explore Apache Drill Visually with DbSchema
Once the JDBC driver is configured, DbSchema connects to your Apache Drill 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 Apache Drill 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.
Visual Query Builder
Compose Apache Drill 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.
Relational Data Explorer
Browse Apache Drill 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.
Schema Synchronization
Compare your Apache Drill 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.
SQL Editor
Write and execute Apache Drill 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.
HTML Schema Documentation
Generate a static HTML site documenting every table, column, type, index, and relationship in your Apache Drill 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.
Go deeper with Apache Drill in DbSchema
ER diagrams, Git-based versioning, random data generator, and HTML schema docs.