Google BigQuery VS Snowflake
As of 4 November 2026, Snowflake is named by 5,634 companies and Google BigQuery by 3,662; Google BigQuery skews to companies under 200 people (46% vs 38%), Snowflake to companies over 1,000 (34% vs 27%).
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Google BigQuery's script and mail records show on hundreds of thousands of small sites, Snowflake rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Google BigQuery: 2–200 employees
- 46%
- Snowflake: 2–200 employees
- 38%
- Google BigQuery: 1,000+ employees
- 27%
- Snowflake: 1,000+ employees
- 34%
- Postings per company, 90 days
- 2.8 · 4.0
- Website or DNS footprint
- 0 · 200
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Google BigQuery | share | Snowflake | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 129 | 4% | 126 | 2% | even |
| 2-10 employees | 332 | 9% | 408 | 7% | even |
| 11-50 employees | 549 | 15% | 621 | 11% | Google BigQuery |
| 51-200 employees | 821 | 22% | 1,098 | 19% | Google BigQuery |
| 201-500 employees | 496 | 14% | 843 | 15% | even |
| 501-1000 employees | 347 | 9% | 650 | 12% | Snowflake |
| 1001-5000 employees | 497 | 14% | 978 | 17% | Snowflake |
| 5001-10000 employees | 141 | 4% | 275 | 5% | even |
| 10,001+ employees | 350 | 10% | 635 | 11% | even |
| Segment | Google BigQuery | share | Snowflake | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 1,627 | 44% | 2,370 | 42% | Google BigQuery |
| Business & finance services | 809 | 22% | 1,360 | 24% | Snowflake |
| Commerce & trade | 234 | 6% | 263 | 5% | even |
| Media & content | 229 | 6% | 227 | 4% | Google BigQuery |
| Manufacturing & industry | 208 | 6% | 465 | 8% | Snowflake |
| Consumer services & leisure | 127 | 3% | 170 | 3% | even |
| Health care | 79 | 2% | 176 | 3% | even |
| Utilities & infrastructure | 75 | 2% | 150 | 3% | even |
| Public, community & associations | 64 | 2% | 112 | 2% | even |
| Hospitality & travel | 59 | 2% | 91 | 2% | even |
| Transport, logistics & rental | 55 | 2% | 81 | 1% | even |
| Property & construction | 54 | 1% | 97 | 2% | even |
| Segment | Google BigQuery | share | Snowflake | share | Leans |
|---|---|---|---|---|---|
| United States | 2,096 | 57% | 3,729 | 66% | Snowflake |
| United Kingdom | 293 | 8% | 397 | 7% | even |
| Germany | 151 | 4% | 169 | 3% | even |
| France | 136 | 4% | 147 | 3% | even |
| Brazil | 86 | 2% | 42 | 1% | even |
| India | 81 | 2% | 111 | 2% | even |
| Canada | 73 | 2% | 150 | 3% | even |
| Sweden | 60 | 2% | 60 | 1% | even |
| Australia | 53 | 1% | 89 | 2% | even |
| Spain | 53 | 1% | 36 | 1% | even |
| Netherlands | 46 | 1% | 49 | 1% | even |
| Poland | 37 | 1% | 33 | 1% | even |
| Segment | Google BigQuery | share | Snowflake | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 6,990 | 52% | 14,432 | 52% | even |
| Software engineering | 1,985 | 15% | 3,678 | 13% | even |
| IT operations & business systems | 754 | 6% | 1,862 | 7% | even |
| Marketing & communications | 513 | 4% | 427 | 2% | Google BigQuery |
| Sales | 360 | 3% | 1,153 | 4% | even |
| Product, program & project management | 308 | 2% | 1,053 | 4% | even |
| Finance & accounting | 219 | 2% | 699 | 3% | even |
| Logistics warehouse and transport | 148 | 1% | 138 | 0% | even |
| Customer service & success | 105 | 1% | 181 | 1% | even |
| Engineering (non-software) | 99 | 1% | 147 | 1% | even |
| Business development & strategy | 55 | 0% | 206 | 1% | even |
| General management & consulting | 54 | 0% | 275 | 1% | even |
| Legal, compliance & risk | 54 | 0% | 131 | 0% | even |
| Unclassified | 22 | 0% | 46 | 0% | even |
| Quality, safety & environment | 15 | 0% | 47 | 0% | even |
| Human resources | 12 | 0% | 32 | 0% | even |
| Design & UX | 9 | 0% | 22 | 0% | even |
| Education & training | 9 | 0% | 9 | 0% | even |
| Retail & store operations | 9 | 0% | – | – | outside top 12 |
| Research and science | 6 | 0% | 19 | 0% | even |
| Administration & office | 5 | 0% | 4 | 0% | even |
| Arts media and entertainment | 5 | 0% | 7 | 0% | even |
| Construction and civil | 5 | 0% | 16 | 0% | even |
| Procurement and purchasing | 5 | 0% | 13 | 0% | even |
| Manufacturing and production | 3 | 0% | 2 | 0% | even |
| Skilled trades and field service | 3 | 0% | 1 | 0% | even |
| Facilities cleaning and security | 2 | 0% | 4 | 0% | even |
| Hospitality and food service | 1 | 0% | 3 | 0% | even |
| Real estate and property | 1 | 0% | 2 | 0% | even |
| Travel, leisure & events | 1 | 0% | – | – | outside top 12 |
| Public safety and protective services | – | – | 5 | 0% | outside top 12 |
| Healthcare clinical | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Google BigQuery →
Companies using Snowflake →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Snowflake is named by 5,634 companies in job postings and Google BigQuery by 3,662; 2,175 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/google-bigquery-vs-snowflake)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Google BigQuery vs Snowflake: questions
Which is more used, Google BigQuery or Snowflake?
By companies naming it in their own job postings, Snowflake (5,634) over Google BigQuery (3,662). By website-and-DNS footprint, Snowflake (200 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Google BigQuery?
46% of Google BigQuery companies have 2 to 200 employees, against 38% for Snowflake. 27% of Google BigQuery companies have over 1,000 employees, against 34% for Snowflake.
Do companies run both?
2,175 companies name both in their postings, usually Google BigQuery in marketing and Snowflake in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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with the person who owns it
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