Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEClickHouse VS Google BigQuery_
As of 4 November 2026, Google BigQuery is named by 3,662 companies and ClickHouse by 894; ClickHouse skews to companies under 200 people (58% vs 46%), Google BigQuery to companies over 1,000 (27% vs 17%).
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: ClickHouse's script and mail records show on hundreds of thousands of small sites, Google BigQuery rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- ClickHouse: 2–200 employees
- 58%
- Google BigQuery: 2–200 employees
- 46%
- ClickHouse: 1,000+ employees
- 17%
- Google BigQuery: 1,000+ employees
- 27%
- Postings per company, 90 days
- 2.3 · 2.8
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | ClickHouse | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 42 | 5% | 129 | 4% | even |
| 2-10 employees | 134 | 15% | 332 | 9% | ClickHouse |
| 11-50 employees | 184 | 21% | 549 | 15% | ClickHouse |
| 51-200 employees | 204 | 23% | 821 | 22% | even |
| 201-500 employees | 109 | 12% | 496 | 14% | even |
| 501-1000 employees | 68 | 8% | 347 | 9% | even |
| 1001-5000 employees | 96 | 11% | 497 | 14% | Google BigQuery |
| 5001-10000 employees | 24 | 3% | 141 | 4% | even |
| 10,001+ employees | 33 | 4% | 350 | 10% | Google BigQuery |
| Segment | ClickHouse | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 571 | 64% | 1,627 | 44% | ClickHouse |
| Business & finance services | 149 | 17% | 809 | 22% | Google BigQuery |
| Manufacturing & industry | 46 | 5% | 208 | 6% | even |
| Media & content | 41 | 5% | 229 | 6% | even |
| Utilities & infrastructure | 29 | 3% | 75 | 2% | even |
| Public, community & associations | 13 | 1% | 64 | 2% | even |
| Consumer services & leisure | 12 | 1% | 127 | 3% | Google BigQuery |
| Commerce & trade | 11 | 1% | 234 | 6% | Google BigQuery |
| Hospitality & travel | 8 | 1% | 59 | 2% | even |
| Property & construction | 5 | 1% | 54 | 1% | even |
| Transport, logistics & rental | 5 | 1% | 55 | 2% | even |
| Automotive | 2 | 0% | – | – | outside top 12 |
| Health care | – | – | 79 | 2% | outside top 12 |
| Segment | ClickHouse | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| United States | 599 | 67% | 2,096 | 57% | ClickHouse |
| United Kingdom | 57 | 6% | 293 | 8% | even |
| Germany | 35 | 4% | 151 | 4% | even |
| India | 21 | 2% | 81 | 2% | even |
| France | 15 | 2% | 136 | 4% | Google BigQuery |
| Australia | 11 | 1% | 53 | 1% | even |
| Netherlands | 11 | 1% | 46 | 1% | even |
| Singapore | 11 | 1% | – | – | outside top 12 |
| Canada | 9 | 1% | 73 | 2% | even |
| Cyprus | 9 | 1% | – | – | outside top 12 |
| Sweden | 8 | 1% | 60 | 2% | even |
| Belgium | 7 | 1% | – | – | outside top 12 |
| Brazil | – | – | 86 | 2% | outside top 12 |
| Spain | – | – | 53 | 1% | outside top 12 |
| Poland | – | – | 37 | 1% | outside top 12 |
| Segment | ClickHouse | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,391 | 50% | 1,985 | 15% | ClickHouse |
| Data & AI | 657 | 24% | 6,990 | 52% | Google BigQuery |
| IT operations & business systems | 196 | 7% | 754 | 6% | even |
| Sales | 81 | 3% | 360 | 3% | even |
| Customer service & success | 51 | 2% | 105 | 1% | even |
| Product, program & project management | 49 | 2% | 308 | 2% | even |
| Engineering (non-software) | 36 | 1% | 99 | 1% | even |
| Marketing & communications | 22 | 1% | 513 | 4% | Google BigQuery |
| Unclassified | 10 | 0% | 22 | 0% | even |
| Finance & accounting | 8 | 0% | 219 | 2% | even |
| Legal, compliance & risk | 6 | 0% | 54 | 0% | even |
| Design & UX | 5 | 0% | 9 | 0% | even |
| Human resources | 5 | 0% | 12 | 0% | even |
| General management & consulting | 3 | 0% | 54 | 0% | even |
| construction and civil | 2 | 0% | 5 | 0% | even |
| Education & training | 2 | 0% | 9 | 0% | even |
| research and science | 2 | 0% | 6 | 0% | even |
| Administration & office | 1 | 0% | 5 | 0% | even |
| Business development & strategy | 1 | 0% | 55 | 0% | even |
| facilities cleaning and security | 1 | 0% | 2 | 0% | even |
| logistics warehouse and transport | – | – | 148 | 1% | outside top 12 |
| Quality, safety & environment | – | – | 15 | 0% | outside top 12 |
| Retail & store operations | – | – | 9 | 0% | outside top 12 |
| arts media and entertainment | – | – | 5 | 0% | outside top 12 |
| procurement and purchasing | – | – | 5 | 0% | outside top 12 |
| manufacturing and production | – | – | 3 | 0% | outside top 12 |
| skilled trades and field service | – | – | 3 | 0% | outside top 12 |
| hospitality and food service | – | – | 1 | 0% | outside top 12 |
| real estate and property | – | – | 1 | 0% | outside top 12 |
| Travel, leisure & events | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using ClickHouse →
Companies using Google BigQuery →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Google BigQuery is named by 3,662 companies in job postings and ClickHouse by 894; 213 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/clickhouse-vs-google-bigquery)
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.
ClickHouse vs Google BigQuery: questions
Which is more used, ClickHouse or Google BigQuery?
By companies naming it in their own job postings, Google BigQuery (3,662) over ClickHouse (894). By website-and-DNS footprint, Google BigQuery (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses ClickHouse?
58% of ClickHouse companies have 2 to 200 employees, against 46% for Google BigQuery. 17% of ClickHouse companies have over 1,000 employees, against 27% for Google BigQuery.
Do companies run both?
213 companies name both in their postings, usually ClickHouse in marketing and Google BigQuery 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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