Small business▼−18Since September 2026: 80% → 62%, −18 points. Past the 11-point floor: movement. Read over the models both editions asked.
62%from 80% in September 2026
Cleared the floor by 7 pointsRank 1 of 46, unchanged
5 categories · RankedGoogle BigQuery
258Judge labels
70First choices
40Negative labels
14 / 14Models named it
5Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
63% in Data warehouses for small business buyers
Rank 2 of 26 in the mid-market standingendorsed leader
3 of 14 models made it the first choice on the direct prompt; 16% of its 80 labels there were negative.
What the models named instead of Google BigQuery →By buyer segmentStrongest at small business.
Small business1 of 49
63%77 labels
endorsed leader
Mid-market2 of 26
47%80 labels
endorsed leader
Enterprise2 of 42
19%78 labels
accepted challenger
In data warehouses · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data warehouses | Data platform | 47% | 2 of 26 | 16% | 80 | endorsed leader | ▲+3Since September 2026: 44% → 48%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| ETL and ELT | Data platform | 0% | 35 of 75 | 25% | 4 | under 10 labels · led by Fivetran at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data masking and test data management | Data platform | 0% | 98 of 140 | 0% | 1 | under 10 labels · led by DATPROF at 17% | |
| Telemetry pipelines | IT operations and endpoint | 0% | 58 of 124 | 0% | 1 | under 10 labels · led by OpenTelemetry Collector at 37% | |
| Time series databases | Data platform | 0% | 28 of 66 | 0% | 1 | under 10 labels · led by TimescaleDB at 63% |
Movement
Since September 2026, Google BigQuery held within the floor in all five categories: no change cleared 11 points.
Best category · Data warehouses · by segment
Mid-market▲+3Since September 2026: 44% → 48%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
48%from 44% in September 2026
Inside the floor by 8 pointsRank 2 → 1 of 25
Enterprise▲+6Since September 2026: 13% → 19%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
19%from 13% in September 2026
Inside the floor by 5 pointsRank 3 → 2 of 37
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Data warehouses | 44% | 48% | ▲+3Since September 2026: 44% → 48%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 of 26, unchanged |
| ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 23 → 35 of 75 |
| Data masking | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 98 of 140, unchanged |
| Telemetry pipelines | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 58 of 124, unchanged |
| Time series DBs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 28 of 66, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Google BigQuery across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Google BigQuery across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 3 | 2 | 1 | 6 |
| GPT-5.4 mini | 2 | 3 | 2 | 0 | 7 |
| Gemini 3.5 Flash | 2 | 2 | 2 | 1 | 7 |
| Perplexity Sonar | 1 | 2 | 0 | 1 | 4 |
| Grok 4.20 | 3 | 1 | 1 | 1 | 6 |
| Mistral Small | 1 | 2 | 3 | 1 | 7 |
| DeepSeek V4 Flash | 3 | 3 | 0 | 1 | 7 |
| Llama 4 Maverick | 0 | 0 | 3 | 1 | 4 |
| Qwen 3.7 Flash | 2 | 1 | 3 | 1 | 7 |
| Kimi K2 | 5 | 0 | 0 | 2 | 7 |
| GLM 4.7 FlashX | 2 | 1 | 3 | 1 | 7 |
| MiniMax M2.5 | 1 | 3 | 1 | 1 | 6 |
| GPT-6 Luna | 1 | 2 | 2 | 1 | 6 |
| Muse Glimmer 30B | 4 | 1 | 0 | 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
Direct43 labels15
Paraphrase47 labels17
Comparative44 labels16not counted in share
Budget-constrained41 labels29
Scale-constrained38 labels9
Negative45 labels3not counted in share
First choiceAlternativeMentionNegative258 labels in all, every segment counted; 70 of the 89 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.
“Choose Google BigQuery if: Your workloads are unpredictable, you want to avoid "idle" costs, and you want safety against accidental massive bills.” Qwen 3.7 Flash · Data warehouses · budget prompt · first choice
“BigQuery is the most popular choice for budget-conscious companies because it requires zero server management and has a generous free tier.” Gemini 3.5 Flash · Data warehouses · budget prompt · first choice
“Snowflake if you have the budget and want to scale smoothly, or BigQuery if cost efficiency and serverless simplicity matter most” Kimi K2 · Data warehouses · paraphrase prompt · first choice
“The Best All-Rounder: Google BigQuery ... Choose BigQuery if you want to minimize costs and reduce the burden on your engineering team.” Qwen 3.7 Flash · Data warehouses · paraphrase 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.
“On-demand charges are based on data processed... configure controls—or compare capacity pricing—before opening it up to lots of users.” GPT-6 Luna · Data warehouses · negative prompt · soft negative
“Exercise Caution on Billing Surprises... harder for engineers to predict exactly what a specific query will cost” Qwen 3.7 Flash · Data warehouses · negative prompt · soft negative
“BigQuery is frequently cited as particularly risky for novices—people have reported massive unexpected bills” MiniMax M2.5 · Data warehouses · negative prompt · soft negative
“If you choose Amazon Redshift or Google BigQuery, you are committing to that specific cloud provider” GLM 4.7 FlashX · Data warehouses · negative prompt · soft negative
Named alongside
The products named in the same answers as Google BigQuery, over the 258 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.ShowHide
Named alongside
The products named in the same answers as Google BigQuery, over the 258 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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 224 of the 258 answers that named Google BigQuery and are not a share of its labels.
Domains cited
ovaledge.com120
clickhouse.com104
fortegrp.com100
fivetran.com83
motherduck.com69
atlan.com66
double.cloud46
airbyte.com44
scnsoft.com44
domo.com41
717 of the 717 domain citations in answers naming Google BigQuery came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Google BigQuery takes 47% of first choices and Snowflake takes 49%.ShowHide
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Google BigQuery takes 47% of first choices and Snowflake takes 49%.
ShowHideIn search
Google, US estimatesPosition for “cloud data warehouse”
–
not in the top ten
Position for “cloud data warehouses”
–
not in the top ten
- Searches for its name, Google
- 8,100 a month (“google bigquery”)
- AI search demand for its name, est.
- 359 a month
- Organic visits to its site
- about 7,405,347 a month
- Searches its site ranks for
- 70,320 · 16,032 in the top three
- Sites linking to it
- 201,334
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
47%
rank 2 of 26 in data warehouses
Segment leader
49%
Snowflake
- First choices
- 70 across its categories
- Named in
- 258 answers
- Its own site cited
- in 224 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on cloud.google.com
79
subdomains included
Content
67
counted in the table below
Documentation
6
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | API management | |
| Case study | 19 | undated | |||
| Conference or event | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-28Storage optimized z4d vm and bare metal instances blog
- 2026-09-28Accelerate geospatial coding with ai in google earth engine blog
- 2026-09-25Storage intelligence advisor and batch operations updates blog
- 2026-09-25Memorystore for valkey 9 1 3x qps caching blog
- 2026-09-252026 gartner magic quadrant for container management blog
- 2026-09-24Gemini 3 8 live with live avatar is now generally available blog
How it is countedHide how it is counted
Every page cloud.google.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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 30BigQuery (Google Cloud) 2
Follow Google BigQuery
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Google BigQuery by email, built from the raw record of the edition. It shows:
- where Google BigQuery is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Google BigQuery, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Google BigQuery is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Google BigQuery is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideGoogle BigQuery is among the products AI models recommend first in Data warehouses this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.