ClickHouse VS Databricks SQL
As of 30 October 2026, Databricks SQL is named by 121 companies and ClickHouse by 672; ClickHouse skews to companies under 200 people (59% vs 29%), Databricks SQL to companies over 1,000 (43% vs 17%).
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: ClickHouse'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.
- ClickHouse: 2–200 employees
- 59%
- Databricks SQL: 2–200 employees
- 29%
- ClickHouse: 1,000+ employees
- 17%
- Databricks SQL: 1,000+ employees
- 43%
- Postings per company, 90 days
- 2.4 · 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 | ClickHouse | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 18 | 3% | 2 | 2% | even |
| 2-10 employees | 88 | 13% | 3 | 2% | ClickHouse |
| 11-50 employees | 150 | 22% | 9 | 7% | ClickHouse |
| 51-200 employees | 159 | 24% | 23 | 19% | ClickHouse |
| 201-500 employees | 84 | 13% | 20 | 17% | Databricks SQL |
| 501-1000 employees | 56 | 8% | 12 | 10% | even |
| 1001-5000 employees | 76 | 11% | 22 | 18% | Databricks SQL |
| 5001-10000 employees | 15 | 2% | 7 | 6% | Databricks SQL |
| 10,001+ employees | 26 | 4% | 23 | 19% | Databricks SQL |
| Segment | ClickHouse | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 449 | 67% | 48 | 40% | ClickHouse |
| Business & finance services | 106 | 16% | 38 | 31% | Databricks SQL |
| Manufacturing & industry | 35 | 5% | 11 | 9% | Databricks SQL |
| Media & content | 22 | 3% | 2 | 2% | even |
| Utilities & infrastructure | 21 | 3% | 3 | 2% | even |
| Commerce & trade | 10 | 1% | 3 | 2% | even |
| Public, community & associations | 10 | 1% | 3 | 2% | even |
| Consumer services & leisure | 8 | 1% | 4 | 3% | Databricks SQL |
| Hospitality & travel | 4 | 1% | 2 | 2% | even |
| Transport, logistics & rental | 4 | 1% | 2 | 2% | even |
| Property & construction | 2 | 0% | 1 | 1% | even |
| Health care | 1 | 0% | 4 | 3% | Databricks SQL |
| Segment | ClickHouse | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| United States | 464 | 69% | 84 | 69% | even |
| United Kingdom | 43 | 6% | 4 | 3% | ClickHouse |
| Germany | 28 | 4% | 2 | 2% | ClickHouse |
| India | 13 | 2% | 2 | 2% | even |
| France | 12 | 2% | 2 | 2% | even |
| Netherlands | 11 | 2% | – | – | outside top 12 |
| Australia | 10 | 1% | 3 | 2% | even |
| Singapore | 9 | 1% | – | – | outside top 12 |
| Sweden | 8 | 1% | – | – | outside top 12 |
| Belgium | 6 | 1% | 1 | 1% | even |
| Canada | 6 | 1% | 6 | 5% | Databricks SQL |
| Cyprus | 6 | 1% | – | – | outside top 12 |
| United Arab Emirates | – | – | 2 | 2% | outside top 12 |
| Switzerland | – | – | 2 | 2% | outside top 12 |
| Brazil | – | – | 1 | 1% | outside top 12 |
| Spain | – | – | 1 | 1% | outside top 12 |
| Segment | ClickHouse | share | Databricks SQL | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,149 | 50% | 20 | 5% | ClickHouse |
| Data & AI | 538 | 24% | 284 | 77% | Databricks SQL |
| IT operations & business systems | 174 | 8% | 12 | 3% | ClickHouse |
| Sales | 62 | 3% | 1 | 0% | ClickHouse |
| Product, program & project management | 46 | 2% | 19 | 5% | Databricks SQL |
| Engineering (non-software) | 30 | 1% | 1 | 0% | even |
| Customer service & success | 29 | 1% | – | – | outside top 12 |
| Marketing & communications | 21 | 1% | 2 | 1% | even |
| General management & consulting | 6 | 0% | – | – | outside top 12 |
| Human resources | 6 | 0% | 1 | 0% | even |
| Legal, compliance & risk | 4 | 0% | – | – | outside top 12 |
| Finance & accounting | 3 | 0% | 1 | 0% | even |
| Construction and civil | – | – | 2 | 1% | outside top 12 |
The companies behind each column
Companies using ClickHouse →
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 ClickHouse by 672; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/clickhouse-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.
ClickHouse vs Databricks SQL: questions
Which is more used, ClickHouse or Databricks SQL?
By companies naming it in their own job postings, ClickHouse (672) over Databricks SQL (121). By website-and-DNS footprint, Databricks SQL (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses ClickHouse?
59% of ClickHouse companies have 2 to 200 employees, against 29% for Databricks SQL. 17% of ClickHouse companies have over 1,000 employees, against 43% for Databricks SQL.
Do companies run both?
0 companies name both in their postings, usually ClickHouse 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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