Tools · data warehouses olap

Companies using Google BigQuery_

As of 4 November 2026, 3,662 companies name Google BigQuery in their own job postings; it leaves no trace on websites or in DNS.

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

Largest market
–
Companies with 51+ staff
–
Top industry
–
Team that names it most
Data & AI · 6,990 postings
Hiring on it, last 30 days
2,620 companies
Most often alongside
Google Cloud · 2,437 companies
3,662companies show Google BigQuery, all sources
0on their website or in DNS records
3,662name it in their own job postings
10,341postings naming Google BigQuery, last 90 days
02 — Two ways we see a tool

Where Google BigQuery shows up

Each population is counted on its own. We never add them up without saying so, because they answer different questions.

Website and DNS footprint0

Companies whose own pages load Google BigQuery's scripts or embeds, or whose domain's mail and hosting records (SPF, DKIM, MX, CNAME) point at Google BigQuery. From our crawl of 41.5M company websites and the DNS sweep behind it. Reach: the tool is in the building.

Job postings3,662

Companies whose own postings say the team works in Google BigQuery. Read hourly from ~70 applicant tracking systems, with the function, a quote and a date. Intent: the team that runs it is hiring.

Both0

Companies in the footprint whose postings also name Google BigQuery. The rest of the posting population (3,662) runs Google BigQuery without a public trace on the site or in DNS, which is where job data earns its place.

03 — Who uses it

Companies on Google BigQuery

Companies with 201+ employees and high-confidence evidence in their own postings; job boards and portals left out.

3,662 companies show Google BigQuery; 0 of them have over 1,000 employees.

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06 — Job-posting evidence

Who runs Google BigQuery inside the company

The 3,662 companies whose postings name Google BigQuery: by country, size and the function of the role. The second number in the function table is companies.

Postings by function
postings · companies
Data & AI
6,990 · 2,980
Software engineering
1,985 · 988
IT operations & business systems
754 · 455
Marketing & communications
513 · 367
Sales
360 · 186
Product, program & project management
308 · 210
Finance & accounting
219 · 133
logistics warehouse and transport
148 · 105
Customer service & success
105 · 60
Engineering (non-software)
99 · 72
Posting companies by country
companiesshare
United States
2,09657%
United Kingdom
2938%
Germany
1514%
France
1364%
Brazil
862%
India
812%
Canada
732%
Sweden
602%
Australia
531%
Spain
531%
Netherlands
461%
Poland
371%
Posting companies by size
companiesshare
Self-employed
1294%
2-10 employees
3329%
11-50 employees
54915%
51-200 employees
82122%
201-500 employees
49614%
501-1000 employees
3479%
1001-5000 employees
49714%
5001-10000 employees
1414%
10,001+ employees
35010%
Hiring on it right now
postings
Postings, last 30 days
7,472
Postings, last 90 days
10,341
All open postings
13,410

2,620 companies opened a role that names Google BigQuery in the last 30 days. A hiring team that names its tools is the moment to write to the person who owns the stack.

07 — Named alongside

What Google BigQuery teams also ask for

Tools named in the same postings as Google BigQuery. Office software is left out.

08 — data warehouses olap

Google BigQuery against the rest of its category

Ranked by companies naming each tool in postings. Whole category →

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

3,662 companies name Google BigQuery in their own job postings; it leaves no trace on websites or in DNS, so the posting layer is the whole picture. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/google-bigquery)
How we know

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 →

  • Website codeScripts, tags and embeds found on the company's own pages in our crawl of 41.5M sites. A tool counts once per company.
  • DNS recordsSPF includes, DKIM selectors, MX and CNAME records of the company's domain that point at Google BigQuery or another vendor. Swept in cycles; dedicated mail-provider and hosting facets open once coverage passes 80% per country.
  • Job postingsRead hourly from the applicant tracking systems behind company career sites. A tool counts when the employer's own text names it as the team's system; candidate wish-lists and apply boilerplate are excluded. Confidence low, medium or high per company.
  • Sending infrastructureCold-e-mail sending domains are look-alike domains on a provider's infrastructure (DNS records, certificate logs) that redirect to the company. Absence is not evidence: only companies with a found sending domain are counted.
  • CompaniesCountry, size and industry come from the company profile we build from its website; headcount from LinkedIn where known, otherwise estimated. Job boards, portals and aggregators are kept out of lists.
FAQ

Google BigQuery data: questions

How many companies use Google BigQuery?

3,662 as of 4 November 2026: 0 carry Google BigQuery on their website or in their DNS records and 3,662 name it in their own job postings; 0 show up in both. We keep the two counts apart because they measure different things.

What does "website or DNS" mean?

Our crawler finds Google BigQuery's scripts, embeds and tags on the company's own pages, and our DNS sweep reads the domain's mail and hosting records (SPF includes, DKIM selectors, MX, CNAMEs) that point at Google BigQuery. Either one puts the company in the footprint. The sweep is still running, so this number grows week by week.

Why is the job-posting number so much smaller?

A posting only names a tool when the team that will use it is hiring and chooses to say so. That makes it a smaller but stronger signal: it tells you which team runs Google BigQuery, with a quote and a date. The footprint tells you reach.

How fresh is this?

Career sites are read hourly, websites are re-crawled on a rolling schedule and DNS is re-swept in cycles. The date at the top is when these counts were computed.

Can I get the list?

Yes. The first 20 are on this page; the full 3,662 with verified e-mails and a weekly feed of new Google BigQuery users is in the product. Counting is free.

Companies and people

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