Apache Druid VS Google BigQuery
As of 30 October 2026, Google BigQuery is named by 2,715 companies and Apache Druid by 101; Apache Druid skews to companies under 200 people (41% vs 48%), Google BigQuery to companies over 1,000 (26% vs 22%).
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: Apache Druid'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.
- Apache Druid: 2–200 employees
- 41%
- Google BigQuery: 2–200 employees
- 48%
- Apache Druid: 1,000+ employees
- 22%
- Google BigQuery: 1,000+ employees
- 26%
- Postings per company, 90 days
- 2.0 · 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 | Apache Druid | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 3% | 42 | 2% | even |
| 2-10 employees | 5 | 5% | 218 | 8% | Google BigQuery |
| 11-50 employees | 18 | 18% | 439 | 16% | even |
| 51-200 employees | 18 | 18% | 651 | 24% | Google BigQuery |
| 201-500 employees | 19 | 19% | 393 | 14% | Apache Druid |
| 501-1000 employees | 16 | 16% | 257 | 9% | Apache Druid |
| 1001-5000 employees | 10 | 10% | 361 | 13% | Google BigQuery |
| 5001-10000 employees | 7 | 7% | 102 | 4% | Apache Druid |
| 10,001+ employees | 5 | 5% | 252 | 9% | Google BigQuery |
| Segment | Apache Druid | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 67 | 66% | 1,279 | 47% | Apache Druid |
| Media & content | 11 | 11% | 163 | 6% | Apache Druid |
| Business & finance services | 9 | 9% | 582 | 21% | Google BigQuery |
| Consumer services & leisure | 4 | 4% | 79 | 3% | even |
| Manufacturing & industry | 4 | 4% | 157 | 6% | even |
| Commerce & trade | 2 | 2% | 145 | 5% | Google BigQuery |
| Public, community & associations | 1 | 1% | 45 | 2% | even |
| Property & construction | 1 | 1% | 42 | 2% | even |
| Transport, logistics & rental | 1 | 1% | 35 | 1% | even |
| Utilities & infrastructure | 1 | 1% | 62 | 2% | even |
| Health care | – | – | 60 | 2% | outside top 12 |
| Hospitality & travel | – | – | 40 | 1% | outside top 12 |
| Segment | Apache Druid | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| United States | 77 | 76% | 1,633 | 60% | Apache Druid |
| United Kingdom | 5 | 5% | 240 | 9% | Google BigQuery |
| India | 5 | 5% | 59 | 2% | Apache Druid |
| Germany | 4 | 4% | 114 | 4% | even |
| Türkiye | 2 | 2% | – | – | outside top 12 |
| Australia | 1 | 1% | 42 | 2% | even |
| Bulgaria | 1 | 1% | – | – | outside top 12 |
| Brazil | 1 | 1% | 50 | 2% | even |
| Czechia | 1 | 1% | – | – | outside top 12 |
| France | 1 | 1% | 111 | 4% | Google BigQuery |
| Romania | 1 | 1% | – | – | outside top 12 |
| Saudi Arabia | 1 | 1% | – | – | outside top 12 |
| Canada | – | – | 52 | 2% | outside top 12 |
| Netherlands | – | – | 43 | 2% | outside top 12 |
| Sweden | – | – | 43 | 2% | outside top 12 |
| Spain | – | – | 38 | 1% | outside top 12 |
| Poland | – | – | 30 | 1% | outside top 12 |
| Segment | Apache Druid | share | Google BigQuery | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 119 | 41% | 1,678 | 15% | Apache Druid |
| Data & AI | 93 | 32% | 5,837 | 53% | Google BigQuery |
| IT operations & business systems | 14 | 5% | 610 | 6% | even |
| Product, program & project management | 10 | 3% | 258 | 2% | even |
| Sales | 4 | 1% | 294 | 3% | even |
| Customer service & success | 3 | 1% | 74 | 1% | even |
| Finance & accounting | 3 | 1% | 175 | 2% | even |
| Engineering (non-software) | 2 | 1% | 87 | 1% | even |
| General management & consulting | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 389 | 4% | Google BigQuery |
| Logistics warehouse and transport | – | – | 134 | 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 Apache Druid →
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 Apache Druid by 101; 41 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-druid-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.
Apache Druid vs Google BigQuery: questions
Which is more used, Apache Druid or Google BigQuery?
By companies naming it in their own job postings, Google BigQuery (2,715) over Apache Druid (101). By website-and-DNS footprint, Google BigQuery (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Druid?
41% of Apache Druid companies have 2 to 200 employees, against 48% for Google BigQuery. 22% of Apache Druid companies have over 1,000 employees, against 26% for Google BigQuery.
Do companies run both?
41 companies name both in their postings, usually Apache Druid 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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