Databricks connector v3.3.8 uses outdated JDBC driver

### Connector Name destination-databricks ### Connector Version 3.3.8 ### What step the error happened? Other ### Relevant information Databricks recently communicated with customers that the legacy JDBC driver will lose support in October 2026. The most recent version of the Airbyte Databricks destination still uses the outdated JDBC driver and will need to be updated prior to the October deprecation. Communication from Databricks: As part of the continued evolution of the Databricks platform, the [Databricks open source JDBC driver](https://docs.databricks.com/aws/en/integrations/jdbc-oss/), which has been Generally Available for over a year, represents the future direction for JDBC connectivity on Databricks. We request that you migrate to the open source JDBC driver by October 31st, 2026. By migrating you will benefit from improved performance and expanded capabilities. What's Changing Databricks has developed a fully [open source JDBC driver](https://docs.databricks.com/aws/en/integrations/jdbc-oss/) that we own and maintain directly. The driver has been Generally Available for over a year and is trusted by customers and partners for production workloads. We continue to invest in the open source JDBC driver, and recent releases introduce meaningful improvements in architecture, performance, and access to the latest SQL features compared to the legacy JDBC driver (versions 2.x and below). This driver represents the future of JDBC connectivity on Databricks, and we recommend that customers begin planning their migration to take full advantage of these benefits. Key benefits include: Improved architecture: Enables new capabilities such as Arrow support for JDK 16+, asynchronous statement execution, and streaming-based volume ingestion. New SQL features: Added support for UC Metric Views, stored procedures, multi-statement transactions, query tags, and more. Better performance: Delivers up to 30% faster large result retrieval compared to the legacy JDBC driver. Enhanced observability: Built-in client telemetry captures query latency, connection events, and errors, enabling faster root-cause analysis. Future proof connectivity: Open-source and fully owned by Databricks, enabling faster fixes, code transparency, external code contributions, and tighter platform integration. By migrating now, you'll ensure your connectivity layer evolves in step with the Databricks platform and benefit from a future-proof foundation for your data workloads. Recommended Action Migrate to the new driver before October 31, 2026 to access the latest features and improved performance: Review the [documentation](https://docs.databricks.com/aws/en/integrations/jdbc-oss/) Download the latest driver from [Maven](https://mvnrepository.com/artifact/com.databricks/databricks-jdbc) or [JDBC downloads page](https://www.databricks.com/spark/jdbc-drivers-download) We're committed to making this transition as smooth as possible for your organization. If you have any questions, please contact your databricks account team or file a support request. ### Relevant log output ```shell Viewing queries in a SQL warehouse executed by the Databricks destination connector, the driver version can be seen as DatabricksJDBCDriver 2.6.40 ``` ### Contribute - [ ] Yes, I want to contribute --- **Internal Tracking:** https://github.com/airbytehq/oncall/issues/12788