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Are you overpaying for Google BigQuery?

The median negotiated discount across the reference set is 30% off list. See the corridor by deal size below, then place your own quote with the free instant benchmark.

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No login. No file upload. Aggregates from anonymized reference agreements, never another customer's deal.

Median discount off list
30%
across the full reference set
Negotiated corridor
20% to 38%
the middle half of the reference set
The corridor by deal size

Google BigQuery: discount off list, by deal size

Deal size (contract value) Reference deals 25th percentile Median 75th percentile
Under $1M 713 12% 20% 25%
$1M to $5M 478 27% 32% 36%
$5M to $15M 324 34% 38% 42%
Over $15M 285 37% 42% 47%

Figures computed from the anonymized reference agreements in the Google BigQuery (editions commit) dataset behind our in-app benchmarking tools. Aggregates only; cohorts too thin to publish are left out rather than estimated. Deal size bands reflect the net contract value of the agreement, not the list value.

What moves Google BigQuery pricing

Google BigQuery deals in our reference book close at a median of 30% off list, with the middle half of deals landing between 20% and 38%. Deal size is the strongest single driver: agreements under $1 million in contract value land a median of 20% off, while deals above $15 million reach 42%.

Beyond deal size, a Snowflake or Databricks bake-off is the lever.

Have a live quote or a renewal on the table? Request access to place your own number against the same reference cohort and get the full corridor, the levers, and an analyst read.

Where does your Google deal land?
Vera AI places your quote against the reference corridor and names the target number for the negotiation.
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