Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Connecting to Google BigQuery in AWS Glue Studio

Focus mode
Connecting to Google BigQuery in AWS Glue Studio - AWS Glue
Note


 You can use AWS Glue for Spark to read from and write to tables in Google BigQuery in AWS Glue 4.0 and later versions. To configure Google BigQuery with AWS Glue jobs programmatically, see
 BigQuery connections.


AWS Glue Studio provides a visual interface to connect to BigQuery, author data integration jobs, and run them on the AWS Glue Studio serverless Spark runtime.

When creating a connection to Goolge BigQuery in AWS Glue Studio, a unified connection is created. For more information, see Considerations.

Instead of creating a secret with the credentials in a specific format, {"credentials": "base64 encoded JSON"}, now with unified connection to Google BigQuery, you can create a secret which directly includes the JSON from Goolge BigQuery: {"type": "service-account", ...}.

Advanced options

You can provide advanced options when creating a BigQuery node. These options are the same as those available when programming AWS Glue for Spark scripts.

See BigQuery connection option reference in the AWS Glue developer guide.

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.