What programming languages are supported by AWS Glue for ETL scripts?

AWS Glue primarily supports Python and Scala for its ETL (Extract, Transform, Load) scripts. The choice of Python is particularly notable because it is widely used in data analytics and has a rich ecosystem of libraries that makes it suitable for data transformation tasks. Scala is also supported, as it is the native language for Apache Spark, which AWS Glue uses under the hood for processing data.

The dual support allows data engineers and analysts to choose the language they are most comfortable with or that best fits the specific requirements of their ETL processes. Using these languages, users can take advantage of Glue's capabilities to create robust data processing workflows, allowing for the flexible transformation and handling of large datasets in the cloud.

Other programming languages mentioned are not supported for ETL scripts in AWS Glue. Java and C++ are not included in the supported languages for Glue's ETL functions. Similarly, Ruby, Perl, Go, and JavaScript do not have official support, limiting users who prefer those languages in their data processing tasks within AWS Glue. This focus on Python and Scala means that users will find ample resources, community support, and frameworks that enhance the development of ETL workflows in AWS Glue.