5 categories · RankedBigQuery
BigQuery is Google's data platform for analytics and data science, positioned as an autonomous data to AI platform · cloud.google.com ↗
Leads at small business. Ranked 4 of 103 for enterprise buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first. Next is Hightouch at 40%.
Hightouch is first at 38%. 7 of 14 models made it the first choice when asked directly.
Hightouch is first at 47%.
Why models recommend it
“For most mid-market B2B companies, GA4 with BigQuery paired with CRM integration ... provides the best balance of capability, cost, and complexity.”MiniMax M2.5 · Direct question · first choice
“If your budget is lean and you rely heavily on GA4/Google Ads: Go with Google BigQuery (DW) + Hightouch or Census (Reverse ETL).”Gemini 3.5 Flash · Comparative question · first choice
“Choose BigQuery if you're heavily invested in Google Marketing Platform (GA4, Google Ads) — the native exports make setup trivial”Kimi K2 · Direct question · first choice
“Often the #1 choice for marketing teams because it natively connects to Google's marketing platforms without third-party ETL tools.”DeepSeek V4 Flash · Comparative question · first choice
What gives them pause
“Using Snowflake, BigQuery, or Databricks directly for marketing activation... they offer zero native activation”Qwen 3.7 Flash · Negative question · warning
“can become expensive to migrate away from due to proprietary storage formats and integration dependencies”DeepSeek V4 Flash · Negative question · warning
“Privacy concerns (cookies), complex setup, sampling in high-volume. Less B2B-native than event tools.”Grok 4.20 · Direct question · warning
“marketing teams should be careful if they need tight cost control and predictable execution at scale”GPT-5.4 mini · Negative question · warning
Also on the shortlist
The products named in the same answers as BigQuery, over the 245 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 216 | 47 | Compare → | |
| 209 | 77 | Compare → | |
| 189 | 17 | Compare → | |
| 120 | 2 | Compare → | |
| 112 | 1 | Compare → | |
| 112 | 1 | Compare → | |
| 105 | 1 | Compare → | |
| 100 | 0 | View → | |
| 73 | 0 | View → | |
| 72 | 0 | View → |
What the models named instead of BigQuery →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on BigQuery's own site, not checked by Gane.
- Price stated
- BigQuery compared to cloud data warehouse alternatives
- Customers named
- MLB
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Also from Google
- Adometry, Attribution 360, Firebase, Google ADH, Google Ad Manager, Google AdMob and 83 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 208 of the 245 answers that named BigQuery and are not a share of its labels.
Domains cited
580 of the 651 domain citations in answers naming BigQuery came from a third party's page. Seventy-one were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 0 | 0 | 4 |
| GPT-5.4 mini | 2 | 4 | 0 | 1 | 7 |
| Gemini 3.5 Flash | 3 | 5 | 0 | 0 | 8 |
| Perplexity Sonar | 2 | 2 | 1 | 0 | 5 |
| Grok 4.20 | 3 | 4 | 1 | 1 | 9 |
| Mistral Small | 2 | 4 | 0 | 0 | 6 |
| DeepSeek V4 Flash | 5 | 1 | 0 | 1 | 7 |
| Llama 4 Maverick | 0 | 3 | 2 | 0 | 5 |
| Qwen 3.7 Flash | 1 | 4 | 0 | 2 | 7 |
| Kimi K2 | 2 | 3 | 1 | 1 | 7 |
| GLM 4.7 FlashX | 2 | 2 | 1 | 0 | 5 |
| MiniMax M2.5 | 4 | 1 | 1 | 1 | 7 |
| GPT-6 Luna | 2 | 2 | 1 | 1 | 6 |
| Muse Glimmer 30B | 1 | 1 | 1 | 1 | 4 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | ||
| 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 |
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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.