Download Aurora PostgreSQL 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 Aurora PostgreSQL JDBC Driver
Amazon Aurora PostgreSQL is AWS's PostgreSQL-compatible relational database engine, offering up to 3× the throughput of standard PostgreSQL. It supports automatic scaling, global databases, and Babelfish for SQL Server compatibility — ideal for cloud-native workloads migrating from on-prem PostgreSQL.
The Aurora PostgreSQL JDBC URL
- Required File(s): postgresql-nn.jdbc3.jar
- Java Driver Class: org.postgresql.Driver
- JDBC URL: jdbc:postgresql://HOST[:PORT]/DB
- Website: PostgreSQL
Download Aurora PostgreSQL JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema and Aurora PostgreSQL
Aurora PostgreSQL uses the standard PostgreSQL wire protocol, so DbSchema connects using the PostgreSQL JDBC driver. Use DbSchema's Schema Documentation feature to generate navigable HTML docs for your Aurora PostgreSQL schemas across multiple schemas and databases.
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 Aurora PostgreSQL Visually with DbSchema
Once the JDBC driver is configured, DbSchema connects to your Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL 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 Aurora PostgreSQL in DbSchema
ER diagrams, Git-based versioning, random data generator, and HTML schema docs.