BigQuery
GCP BigQuery — commitment brief
Data sourced: March 2026. Verify current figures at the Google Cloud Pricing Calculator.
Coverage summary
BigQuery uses its own commitment model — slot capacity commitments and spend-based CUDs — rather than the standard Compute Engine resource-based CUD framework. On-demand (per-query) pricing is charged per TiB of data processed. Capacity pricing uses BigQuery slots (virtual CPUs) as the unit of commitment. Enterprise and Enterprise Plus editions support optional 1-yr and 3-yr slot capacity commitments that deliver a 20% (1-yr) or 40% (3-yr) discount over pay-as-you-go slot rates. Separately, BigQuery also participates in the spend-based CUD program at a lower 10% (1-yr) / 20% (3-yr) discount tier. Standard edition does not support capacity commitments.
What is covered: BigQuery compute capacity (slots) for Enterprise and Enterprise Plus editions. Spend-based CUDs also cover associated BigQuery services including Composer 3 (BigQuery engine for Apache Airflow), Dataplex Universal Catalog, and Google Cloud Serverless for Apache Spark within the BigQuery billing scope.
What is not covered: BigQuery storage (active and long-term storage charged separately), on-demand (per-query) pricing does not benefit from slot commitments, Standard edition workloads (no commitment support), streaming inserts, BigQuery ML inference costs using external models, and BI Engine charges.
CUD types
BigQuery offers two discount mechanisms: (1) slot capacity commitments — purchase of a fixed slot count for Enterprise or Enterprise Plus editions at 20% (1-yr) or 40% (3-yr) off pay-as-you-go slot rates; and (2) spend-based CUDs — commitment to a minimum hourly spend on BigQuery capacity in a region at 10% (1-yr) or 20% (3-yr). Standard edition does not support capacity commitments. Unlike Compute Engine CUDs, BigQuery's commitment discounts are modest because BigQuery's autoscaling architecture means you already pay only for what you use in on-demand mode. The value of slot commitments is primarily cost predictability and baseline throughput guarantees, not just discount depth.
Machine type / SKU coverage
Enterprise edition (slots)
✅ Yes
✅ Yes
~20% (1-yr) / ~40% (3-yr)
~10% (1-yr) / ~20% (3-yr)
Supports annual and 3-yr capacity commitments; flex slots also available (no discount)
Enterprise Plus edition (slots)
✅ Yes
✅ Yes
~20% (1-yr) / ~40% (3-yr)
~10% (1-yr) / ~20% (3-yr)
Highest priority for slot allocation; same commitment discounts as Enterprise
Standard edition
❌ No
❌ No
—
—
No capacity commitment support; on-demand or autoscaling only
On-demand (per-TiB query pricing)
❌ No
❌ No
—
—
Per-query pricing model; slot commitments don't apply
BigQuery storage (active / long-term)
❌ No
❌ No
—
—
Not covered by slot or spend CUDs
Streaming inserts
❌ No
❌ No
—
—
Not covered
Regional availability
BigQuery slot capacity commitments and spend-based CUDs are available in all commercial GCP regions and both multi-regions (US and EU). Capacity commitments are a regional resource — each commitment is scoped to a single region or multi-region, so organizations operating in multiple regions must purchase commitments separately per region.
⚠️ CUD availability varies by machine type and region. Always verify at GCP regions and zones before purchasing.
Archera
Google Cloud BigQuery is within Archera's commitment management scope. Archera can manage BigQuery slot capacity commitments (20%/40% discount) and spend-based CUDs (10%/20% discount), monitor slot utilization across reservations, and wrap commitments in a GRI/GSP — eliminating downside risk on over-commitment while preserving the committed capacity discount.
Sources
⚠️ Discount percentages are approximate. BigQuery slot commitment pricing varies by region and edition. Always verify with the Google Cloud Pricing Calculator.
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