AWS Glue now enables you to bring your own JDBC drivers to your Glue Spark ETL jobs
Starting today, you can now bring your own JDBC drivers to your Glue Spark ETL jobs. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easier to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources either on AWS or elsewhere using JDBC drivers. This feature enables you to connect to data sources with custom drivers that were not natively supported in AWS Glue such as MySQL 8 and Oracle 18. You can also use multiple JDBC driver versions in the same Glue job enabling you to migrate data between source and target databases with different versions. To learn more, please visit our documentation.
Starting today, you can now bring your own JDBC drivers to your Glue Spark ETL jobs. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easier to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources either on AWS or elsewhere using JDBC drivers. This feature enables you to connect to data sources with custom drivers that were not natively supported in AWS Glue such as MySQL 8 and Oracle 18. You can also use multiple JDBC driver versions in the same Glue job enabling you to migrate data between source and target databases with different versions. To learn more, please visit our documentation.
This feature is now available in all the AWS regions where AWS Glue is available.