Database JDBC Drivers
Database Configuration
- Database JDBC Drivers
- Database Setup for Oracle
- Database Setup for PostgreSQL
- Database Setup for SQL Server
- Database Setup For MySQL
- Embedded H2 Database
- Migrating to Another Database
- Configuring Database Character Encoding
- Configuring database query timeout
- Troubleshooting External Database Connections
- Surviving Database Connection Closures
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This page provides the download links for the JDBC drivers for all databases currently supported for Confluence. You will need to make the driver available to your application server, as described in the appropriate setup guide.
Note: We bundle some JDBC drivers with Confluence, as shown below. If you are using a direct JDBC connection, you don't need to download or install drivers that are bundled. If you are connecting via a datasource, or if you are using a database whose driver is not bundled, you will need to download and install the drivers manually.
Related pages:
Database | JDBC driver bundled with Confluence? | JDBC drivers | Notes | More information |
|---|---|---|---|---|
PostgreSQL |
| 9.4-1202 JDBC 41 driver download
| We recommend that you use the bundled JDBC 4 driver. If you want to use a later driver, you can download it from the PostgreSQL website. The JDBC 41 driver will work under the 1.8 JVM. | Database Setup for PostgreSQL |
Microsoft SQL Server |
|
| We recommend you use the bundled jTDS driver. If you decide to use a later version, we may not be able to provide support for any problems you encounter. | Database setup for Microsoft SQL Server |
MySQL |
| Connector\J 5.1.30 driver download
| Due to licensing constraints, MySQL drivers are not bundled with Confluence. | Database setup for MySQL |
Oracle |
| Due to licensing constraints, Oracle drivers are not bundled with Confluence. For Oracle 12c use the 12.2.0.1 driver (ojdbc8.jar) We recommend using the thin drivers only. See the Oracle JDBC driver FAQ. | Database setup for Oracle |
If you attempt to use an unsupported or custom JDBC driver (or a driverClassName from an unsupported or custom driver in your JINDI datasource connection) collaborative editing will fail. You must use a supported driver.
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