Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEDatabricks SQL VS Google BigQuery_
As of 30 October 2026, Google BigQuery is named by 2,715 companies and Databricks SQL by 121; Databricks SQL skews to companies under 200 people (29% vs 48%), Google BigQuery to companies over 1,000 (26% vs 43%).
As of 30 October 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: Databricks SQL'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.
- Databricks SQL: 2–200 employees
- 29%
- Google BigQuery: 2–200 employees
- 48%
- Databricks SQL: 1,000+ employees
- 43%
- Google BigQuery: 1,000+ employees
- 26%
- Postings per company, 90 days
- 2.6 · 3.1
- 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 | Databricks SQL | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | 42 | 2% | even |
| 2-10 employees | 3 | 2% | 218 | 8% | Google BigQuery |
| 11-50 employees | 9 | 7% | 439 | 16% | Google BigQuery |
| 51-200 employees | 23 | 19% | 651 | 24% | Google BigQuery |
| 201-500 employees | 20 | 17% | 393 | 14% | Databricks SQL |
| 501-1000 employees | 12 | 10% | 257 | 9% | even |
| 1001-5000 employees | 22 | 18% | 361 | 13% | Databricks SQL |
| 5001-10000 employees | 7 | 6% | 102 | 4% | Databricks SQL |
| 10,001+ employees | 23 | 19% | 252 | 9% | Databricks SQL |
| Segment | Databricks SQL | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 48 | 40% | 1,279 | 47% | Google BigQuery |
| Business & finance services | 38 | 31% | 582 | 21% | Databricks SQL |
| Manufacturing & industry | 11 | 9% | 157 | 6% | Databricks SQL |
| Consumer services & leisure | 4 | 3% | 79 | 3% | even |
| Health care | 4 | 3% | 60 | 2% | even |
| Commerce & trade | 3 | 2% | 145 | 5% | Google BigQuery |
| Public, community & associations | 3 | 2% | 45 | 2% | even |
| Utilities & infrastructure | 3 | 2% | 62 | 2% | even |
| Hospitality & travel | 2 | 2% | 40 | 1% | even |
| Media & content | 2 | 2% | 163 | 6% | Google BigQuery |
| Transport, logistics & rental | 2 | 2% | 35 | 1% | even |
| Property & construction | 1 | 1% | 42 | 2% | even |
| Segment | Databricks SQL | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| United States | 84 | 69% | 1,633 | 60% | Databricks SQL |
| Canada | 6 | 5% | 52 | 2% | Databricks SQL |
| United Kingdom | 4 | 3% | 240 | 9% | Google BigQuery |
| Australia | 3 | 2% | 42 | 2% | even |
| United Arab Emirates | 2 | 2% | – | – | outside top 12 |
| Switzerland | 2 | 2% | – | – | outside top 12 |
| Germany | 2 | 2% | 114 | 4% | Google BigQuery |
| France | 2 | 2% | 111 | 4% | Google BigQuery |
| India | 2 | 2% | 59 | 2% | even |
| Belgium | 1 | 1% | – | – | outside top 12 |
| Brazil | 1 | 1% | 50 | 2% | even |
| Spain | 1 | 1% | 38 | 1% | even |
| Netherlands | – | – | 43 | 2% | outside top 12 |
| Sweden | – | – | 43 | 2% | outside top 12 |
| Poland | – | – | 30 | 1% | outside top 12 |
| Segment | Databricks SQL | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 284 | 77% | 5,837 | 53% | Databricks SQL |
| Software engineering | 20 | 5% | 1,678 | 15% | Google BigQuery |
| Product, program & project management | 19 | 5% | 258 | 2% | Databricks SQL |
| IT operations & business systems | 12 | 3% | 610 | 6% | Google BigQuery |
| construction and civil | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 2 | 1% | 389 | 4% | Google BigQuery |
| Engineering (non-software) | 1 | 0% | 87 | 1% | even |
| Finance & accounting | 1 | 0% | 175 | 2% | even |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Sales | 1 | 0% | 294 | 3% | Google BigQuery |
| logistics warehouse and transport | – | – | 134 | 1% | outside top 12 |
| Customer service & success | – | – | 74 | 1% | outside top 12 |
| Business development & strategy | – | – | 45 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 44 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks SQL →
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 2,715 companies in job postings and Databricks SQL by 121; 16 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/databricks-sql-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.
Databricks SQL vs Google BigQuery: questions
Which is more used, Databricks SQL or Google BigQuery?
By companies naming it in their own job postings, Google BigQuery (2,715) over Databricks SQL (121). By website-and-DNS footprint, Google BigQuery (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Databricks SQL?
29% of Databricks SQL companies have 2 to 200 employees, against 48% for Google BigQuery. 43% of Databricks SQL companies have over 1,000 employees, against 26% for Google BigQuery.
Do companies run both?
16 companies name both in their postings, usually Databricks SQL 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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