Every category where a model named Google BigQuery for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Data warehouses	Data platform	44%	2 of 41	16%	67	endorsed leader
ETL and ELT	Data platform	0%	24 of 66	0%	3	under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for Google BigQuery yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Google BigQuery across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	2	2	1	6
GPT-5.4 mini	2	3	1	1	7
Gemini 3.5 Flash	1	4	0	1	6
Perplexity Sonar	2	1	1	1	5
Grok 4.1 Fast	2	3	0	1	6
Mistral Small	3	1	1	0	5
DeepSeek V4 Flash	3	1	1	1	6
Llama 4 Maverick	1	1	2	1	5
Qwen 3.7 Flash	2	3	0	1	6
Kimi K2	2	4	0	1	7
GLM 4.7 FlashX	3	1	0	1	5
MiniMax M2.5	2	1	2	1	6

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct35 labels14

Paraphrase38 labels14

Comparative37 labels14not counted in share

Budget-constrained36 labels27

Scale-constrained28 labels9

Negative34 labels1not counted in share

First choiceAlternativeMentionNegative208 labels in all, every segment counted; 64 of the 79 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Features a generous free tier with 1TB of query data per month and 10GB of storage. It's highly cost-effective for sporadic queries and has no minimum commitment.” Claude Haiku 4.5 · Data warehouses · budget prompt · first choice

“If cost is your primary concern: Choose BigQuery - it's significantly cheaper at mid-market scale and requires zero infrastructure management.” Kimi K2 · Data warehouses · direct prompt · first choice

“Google BigQuery: A serverless, pay-as-you-go solution with a generous free tier, ideal for flexible, ad-hoc analytics, and startups.” Llama 4 Maverick · Data warehouses · budget prompt · first choice

“the best overall cloud data warehouse is generally Google BigQuery, particularly because of its industry-leading free tier” Qwen 3.7 Flash · Data warehouses · budget prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“BigQuery can be great, but on-demand query pricing can surprise teams if you don't put quotas and guardrails in place.” GPT-5.4 mini · Data warehouses · negative prompt · soft negative

“Pay-per-Query Volatility... To use BigQuery safely, you must enforce strict query cost limits” Gemini 3.5 Flash · Data warehouses · negative prompt · soft negative

“BigQuery, which is not suitable for live data or situations that require frequent mutations.” Llama 4 Maverick · Data warehouses · negative prompt · soft negative

“A single exploratory query on an unpartitioned table can generate a $50,000 bill overnight” Claude Haiku 4.5 · Data warehouses · negative prompt · soft negative

Named alongside

The products named in the same answers as Google BigQuery, over the 208 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google BigQuery was named but was not.

ProductSame answerTook the first choice insteadHead to head

Snowflake198 of 20857Compare →

Amazon Redshift188 of 2085Not in the top three

Databricks89 of 2083Not in the top three

Azure Synapse Analytics63 of 2080Not in the top three

ClickHouse Cloud53 of 2080Compare →

Microsoft Fabric40 of 2080Not in the top three

MotherDuck31 of 2085Not in the top three

Databricks SQL30 of 2080Not in the top three

Firebolt21 of 2080Not in the top three

Panoply13 of 2080Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Google BigQuery. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 162 of the 208 answers that named Google BigQuery and are not a share of its labels.

Domains cited

clickhouse.com75

atlan.com68

fortegrp.com60

domo.com54

g2.com45

scnsoft.com43

motherduck.com40

blog.dataddo.com37

trustradius.com32

valiotti.com32

486 of the 486 domain citations in answers naming Google BigQuery came from somebody else's page.

Pages cited

atlan.com/best-cloud-data-warehouses65

clickhouse.com/resources/engineering/top-5-cloud-data-warehouses60

fortegrp.com/insights/best-cloud-data-warehouse60

domo.com/learn/article/best-data-warehouse-platforms53

scnsoft.com/data/data-warehouse/cloud39

clickhouse.com/blog/cloud-data-warehouses-cost-performance-comparison38

blog.dataddo.com/best-cloud-data-warehouse-solutions-and-how-to-choose-the-right-one37

g2.com/categories/data-warehouse/small-business35

Pages are listed as the models cited them.

Names read as Google BigQuery

What the judge wrote, as written, with how often. The vendor table decides that these count as Google BigQuery; a claim can dispute any of them.

BigQuery 21BigQuery (Google Cloud) 1Google Cloud BigQuery 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Google BigQuery's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Google BigQuery, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at google.dev is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.