Apache Druid VS Databricks SQL
As of 30 October 2026, Databricks SQL is named by 121 companies and Apache Druid by 101; Apache Druid skews to companies under 200 people (41% vs 29%), Databricks SQL to companies over 1,000 (43% 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, Databricks SQL 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%
- Databricks SQL: 2–200 employees
- 29%
- Apache Druid: 1,000+ employees
- 22%
- Databricks SQL: 1,000+ employees
- 43%
- Postings per company, 90 days
- 2.0 · 2.6
- 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 | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 3% | 2 | 2% | even |
| 2-10 employees | 5 | 5% | 3 | 2% | Apache Druid |
| 11-50 employees | 18 | 18% | 9 | 7% | Apache Druid |
| 51-200 employees | 18 | 18% | 23 | 19% | even |
| 201-500 employees | 19 | 19% | 20 | 17% | Apache Druid |
| 501-1000 employees | 16 | 16% | 12 | 10% | Apache Druid |
| 1001-5000 employees | 10 | 10% | 22 | 18% | Databricks SQL |
| 5001-10000 employees | 7 | 7% | 7 | 6% | even |
| 10,001+ employees | 5 | 5% | 23 | 19% | Databricks SQL |
| Segment | Apache Druid | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 67 | 66% | 48 | 40% | Apache Druid |
| Media & content | 11 | 11% | 2 | 2% | Apache Druid |
| Business & finance services | 9 | 9% | 38 | 31% | Databricks SQL |
| Consumer services & leisure | 4 | 4% | 4 | 3% | even |
| Manufacturing & industry | 4 | 4% | 11 | 9% | Databricks SQL |
| Commerce & trade | 2 | 2% | 3 | 2% | even |
| Public, community & associations | 1 | 1% | 3 | 2% | even |
| Property & construction | 1 | 1% | 1 | 1% | even |
| Transport, logistics & rental | 1 | 1% | 2 | 2% | even |
| Utilities & infrastructure | 1 | 1% | 3 | 2% | even |
| Health care | – | – | 4 | 3% | outside top 12 |
| Hospitality & travel | – | – | 2 | 2% | outside top 12 |
| Segment | Apache Druid | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| United States | 77 | 76% | 84 | 69% | Apache Druid |
| United Kingdom | 5 | 5% | 4 | 3% | even |
| India | 5 | 5% | 2 | 2% | Apache Druid |
| Germany | 4 | 4% | 2 | 2% | Apache Druid |
| Türkiye | 2 | 2% | – | – | outside top 12 |
| Australia | 1 | 1% | 3 | 2% | even |
| Bulgaria | 1 | 1% | – | – | outside top 12 |
| Brazil | 1 | 1% | 1 | 1% | even |
| Czechia | 1 | 1% | – | – | outside top 12 |
| France | 1 | 1% | 2 | 2% | even |
| Romania | 1 | 1% | – | – | outside top 12 |
| Saudi Arabia | 1 | 1% | – | – | outside top 12 |
| Canada | – | – | 6 | 5% | outside top 12 |
| United Arab Emirates | – | – | 2 | 2% | outside top 12 |
| Switzerland | – | – | 2 | 2% | outside top 12 |
| Belgium | – | – | 1 | 1% | outside top 12 |
| Spain | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Druid | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 119 | 41% | 20 | 5% | Apache Druid |
| Data & AI | 93 | 32% | 284 | 77% | Databricks SQL |
| IT operations & business systems | 14 | 5% | 12 | 3% | even |
| Product, program & project management | 10 | 3% | 19 | 5% | even |
| Sales | 4 | 1% | 1 | 0% | even |
| Customer service & success | 3 | 1% | – | – | outside top 12 |
| Finance & accounting | 3 | 1% | 1 | 0% | even |
| Engineering (non-software) | 2 | 1% | 1 | 0% | even |
| General management & consulting | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 2 | 1% | even |
| Construction and civil | – | – | 2 | 1% | outside top 12 |
| Human resources | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Druid →
Companies using Databricks SQL →
data warehouses olap ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Databricks SQL is named by 121 companies in job postings and Apache Druid by 101; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-druid-vs-databricks-sql)
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 Databricks SQL: questions
Which is more used, Apache Druid or Databricks SQL?
By companies naming it in their own job postings, Databricks SQL (121) over Apache Druid (101). By website-and-DNS footprint, Databricks SQL (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 29% for Databricks SQL. 22% of Apache Druid companies have over 1,000 employees, against 43% for Databricks SQL.
Do companies run both?
0 companies name both in their postings, usually Apache Druid in marketing and Databricks SQL 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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