Encryption in transit protects data moving between clients and BigQuery by using TLS/HTTPS to prevent eavesdropping or tampering.
Google automatically wraps every connection to BigQuery in TLS 1.2+ so data packets are ciphered while traveling between your application and Google’s edge. No extra SQL is required, yet you can still validate and enforce the secure channel at the client layer.
Use the bq
CLI with --connection_type=REST
or open your browser’s developer tools. All requests should show https://
. For JDBC/ODBC drivers, inspect the connection properties and confirm SSL=true
or UseEncryption=1
.
jdbc:bigquery://https://www.googleapis.com/bigquery/v2:443;ProjectId=myproject;OAuthType=3;SSL=true;
Encrypt=1;TrustServerCertificate=0;ProjectId=myproject;
Yes. CMEK protects data at rest, while TLS secures it in motion. Using both satisfies stringent compliance frameworks like HIPAA and PCI-DSS.
BigQuery’s Python client uses HTTPS by default. Installing google-cloud-bigquery
and executing a query automatically leverages TLS; no extra flags are necessary.
After adding SSL=true
to the JDBC URL, issue:
SELECT c.id, c.name, o.total_amount
FROM `myproject.ecommerce.Customers` AS c
JOIN `myproject.ecommerce.Orders` AS o
ON o.customer_id = c.id
WHERE o.order_date >= '2023-01-01';
The query text is identical; the secure channel is handled by the driver.
SSL=true
in JDBC/ODBC strings.Older drivers may default to plain TCP. Add Encrypt=1
or upgrade to the latest Google-signed driver.
TLS only covers the wire. Enable CMEK on datasets or projects for full at-rest control.
No. Encryption in transit is included at no additional cost.
No. Google requires TLS for all BigQuery traffic.
Provide driver settings (SSL=true), network traces showing TLS 1.2+, and Google Cloud compliance documentation.