GCP BigQuery SLA Credits & Refunds

Google Cloud publishes a service-specific SLA for BigQuery that describes exactly when a database workload qualifies for credits — and the thresholds are stricter than most teams realize. This guide breaks down the BigQuery commitment, what Google considers a downtime period, and how to file a financial credit request through the Cloud Console.

What this guide covers

• The official GCP BigQuery uptime commitment and credit tiers
• Which incidents qualify (and which exclusions silently disqualify claims)
• How to file a BigQuery credit request inside the GCP claim window
• Why manual claim recovery typically leaves money on the table

Frequently asked questions about GCP BigQuery SLAs

What is the typical SLA uptime guarantee for GCP BigQuery?

Google commits to a 99.99% monthly uptime percentage for the BigQuery service. The SLA covers query execution and storage availability; if Google fails to meet this commitment during a billing cycle, you are eligible to receive a portion of your BigQuery spend back as a service credit.

How do I claim GCP BigQuery SLA credits after an outage?

File a Financial Credit Request through Google Cloud Support within 30 days of the end of the affected billing month — the deadline is shorter than AWS or Azure, which catches a lot of teams out. Include your Project ID, the affected BigQuery resources, downtime intervals (with timezone), supporting evidence from Cloud Monitoring or your own observability stack, and a calculation showing where Monthly Uptime Percentage fell below the SLA threshold. Google issues approved credits against your billing account, not as cash refunds.

What exclusions apply to the GCP BigQuery SLA?

Specifically for BigQuery, query failures caused by malformed SQL, exceeding project quotas, or user-side concurrency limits do not count as covered downtime — only errors returned by Google's infrastructure on otherwise valid requests qualify.

Why is it difficult to get refunds for BigQuery outages manually?

Database SLAs get complicated because read availability, write availability, and replication health are often measured separately. A BigQuery outage that prevents writes but allows reads may qualify for a partial credit, or none at all, depending on the precise wording. The evidence required (query error rates, connection failures, replication lag from your monitoring) has to match the SLA's definition of unavailability exactly.

Related GCP SLA guides

Other Google Cloud services with their own published SLA and 30-day claim window:

• GCP Cloud SQL SLA credits — Database
• GCP Cloud Spanner SLA credits — Database
• GCP Firestore SLA credits — Database
• GCP Compute Engine SLA credits — Compute

Don't miss GCP's 30-day claim window

GCP's claim deadline for BigQuery is the shortest of the three major clouds, and most teams miss it for the same reason: nobody owns "file SLA credit requests" as a recurring task. By the time finance closes out the month, the window is already gone.

Next Signal monitors BigQuery availability, files the Financial Credit Request inside Google's deadline, and tracks the claim through resolution. See how it works or start a free trial.