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Are you overpaying for Google BigQuery?

The median negotiated discount across 5,000 reference deals is 25% 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
25%
across the full reference set
Negotiated corridor
17% to 33%
the middle half of the reference set
Reference deals
5,000
anonymized reference agreements
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 $250k 1,538 10% 17% 22%
$250k to $1M 1,307 17% 23% 30%
$1M to $5M 1,498 24% 30% 37%
Over $5M 657 31% 36% 43%

Figures computed from the 5,000 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.

What moves Google BigQuery pricing

Google BigQuery deals in our reference book close at a median of 25% off list, with the middle half of deals landing between 17% and 33%. Deal size is the strongest single driver: agreements under $250,000 in contract value land a median of 17% off, while deals above $5 million reach 36%.

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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