Databricks Workflows VS Prefect
As of 4 November 2026, Prefect is named by 659 companies and Databricks Workflows by 293; Databricks Workflows skews to companies under 200 people (28% vs 53%), Prefect to companies over 1,000 (23% vs 47%).
As of 4 November 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 Workflows's script and mail records show on hundreds of thousands of small sites, Prefect rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Databricks Workflows: 2–200 employees
- 28%
- Prefect: 2–200 employees
- 53%
- Databricks Workflows: 1,000+ employees
- 47%
- Prefect: 1,000+ employees
- 23%
- Postings per company, 90 days
- 2.8 · 1.5
- 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 Workflows | share | Prefect | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 2% | 30 | 5% | Prefect |
| 2-10 employees | 12 | 4% | 93 | 14% | Prefect |
| 11-50 employees | 26 | 9% | 103 | 16% | Prefect |
| 51-200 employees | 45 | 15% | 152 | 23% | Prefect |
| 201-500 employees | 38 | 13% | 74 | 11% | even |
| 501-1000 employees | 30 | 10% | 58 | 9% | even |
| 1001-5000 employees | 49 | 17% | 81 | 12% | Databricks Workflows |
| 5001-10000 employees | 23 | 8% | 15 | 2% | Databricks Workflows |
| 10,001+ employees | 65 | 22% | 53 | 8% | Databricks Workflows |
| Segment | Databricks Workflows | share | Prefect | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 117 | 40% | 318 | 48% | Prefect |
| Business & finance services | 75 | 26% | 151 | 23% | Databricks Workflows |
| Manufacturing & industry | 31 | 11% | 52 | 8% | Databricks Workflows |
| Commerce & trade | 15 | 5% | 20 | 3% | Databricks Workflows |
| Health care | 10 | 3% | 13 | 2% | even |
| Consumer services & leisure | 9 | 3% | 17 | 3% | even |
| Media & content | 8 | 3% | 21 | 3% | even |
| Automotive | 7 | 2% | 6 | 1% | even |
| Utilities & infrastructure | 6 | 2% | 12 | 2% | even |
| Hospitality & travel | 5 | 2% | – | – | outside top 12 |
| Transport, logistics & rental | 5 | 2% | 15 | 2% | even |
| Property & construction | 3 | 1% | 6 | 1% | even |
| Public, community & associations | – | – | 21 | 3% | outside top 12 |
| Segment | Databricks Workflows | share | Prefect | share | Leans |
|---|---|---|---|---|---|
| United States | 185 | 63% | 426 | 65% | even |
| United Kingdom | 19 | 6% | 54 | 8% | even |
| Canada | 8 | 3% | 10 | 2% | even |
| France | 8 | 3% | 20 | 3% | even |
| Brazil | 6 | 2% | 7 | 1% | even |
| Germany | 5 | 2% | 14 | 2% | even |
| Denmark | 5 | 2% | – | – | outside top 12 |
| Sweden | 5 | 2% | 6 | 1% | even |
| Switzerland | 4 | 1% | 6 | 1% | even |
| Poland | 4 | 1% | – | – | outside top 12 |
| Romania | 4 | 1% | – | – | outside top 12 |
| Singapore | 4 | 1% | – | – | outside top 12 |
| India | – | – | 16 | 2% | outside top 12 |
| Australia | – | – | 9 | 1% | outside top 12 |
| Netherlands | – | – | 8 | 1% | outside top 12 |
| EG | – | – | 4 | 1% | outside top 12 |
| Segment | Databricks Workflows | share | Prefect | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 791 | 84% | 994 | 74% | Databricks Workflows |
| Software engineering | 46 | 5% | 212 | 16% | Prefect |
| IT operations & business systems | 16 | 2% | 12 | 1% | even |
| Finance & accounting | 7 | 1% | 10 | 1% | even |
| Product, program & project management | 6 | 1% | 5 | 0% | even |
| Sales | 2 | 0% | 3 | 0% | even |
| Customer service & success | 1 | 0% | 1 | 0% | even |
| Engineering (non-software) | 1 | 0% | 4 | 0% | even |
| General management & consulting | 1 | 0% | 3 | 0% | even |
| Hospitality and food service | 1 | 0% | – | – | outside top 12 |
| Quality, safety & environment | 1 | 0% | – | – | outside top 12 |
| Design & UX | – | – | 2 | 0% | outside top 12 |
| Marketing & communications | – | – | 2 | 0% | outside top 12 |
| Research and science | – | – | 2 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks Workflows →
Companies using Prefect →
data orchestration ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Prefect is named by 659 companies in job postings and Databricks Workflows by 293; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/databricks-workflows-vs-prefect)
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 Workflows vs Prefect: questions
Which is more used, Databricks Workflows or Prefect?
By companies naming it in their own job postings, Prefect (659) over Databricks Workflows (293). By website-and-DNS footprint, Prefect (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Databricks Workflows?
28% of Databricks Workflows companies have 2 to 200 employees, against 53% for Prefect. 47% of Databricks Workflows companies have over 1,000 employees, against 23% for Prefect.
Do companies run both?
0 companies name both in their postings, usually Databricks Workflows in marketing and Prefect 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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