Apache NiFi VS Azure Data Factory
As of 30 October 2026, Azure Data Factory is named by 1,655 companies and Apache NiFi by 273; Apache NiFi skews to companies under 200 people (48% vs 33%), Azure Data Factory to companies over 1,000 (40% vs 30%).
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 NiFi's script and mail records show on hundreds of thousands of small sites, Azure Data Factory rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache NiFi: 2–200 employees
- 48%
- Azure Data Factory: 2–200 employees
- 33%
- Apache NiFi: 1,000+ employees
- 30%
- Azure Data Factory: 1,000+ employees
- 40%
- Postings per company, 90 days
- 3.8 · 3.2
- 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 NiFi | share | Azure Data Factory | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 1% | 11 | 1% | even |
| 2-10 employees | 16 | 6% | 73 | 4% | even |
| 11-50 employees | 45 | 16% | 185 | 11% | Apache NiFi |
| 51-200 employees | 70 | 26% | 284 | 17% | Apache NiFi |
| 201-500 employees | 34 | 12% | 240 | 15% | Azure Data Factory |
| 501-1000 employees | 24 | 9% | 196 | 12% | Azure Data Factory |
| 1001-5000 employees | 38 | 14% | 301 | 18% | Azure Data Factory |
| 5001-10000 employees | 7 | 3% | 110 | 7% | Azure Data Factory |
| 10,001+ employees | 36 | 13% | 255 | 15% | Azure Data Factory |
| Segment | Apache NiFi | share | Azure Data Factory | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 161 | 59% | 674 | 41% | Apache NiFi |
| Business & finance services | 53 | 19% | 388 | 23% | Azure Data Factory |
| Manufacturing & industry | 28 | 10% | 197 | 12% | even |
| Public, community & associations | 12 | 4% | 46 | 3% | even |
| Utilities & infrastructure | 6 | 2% | 57 | 3% | even |
| Consumer services & leisure | 4 | 1% | 34 | 2% | even |
| Commerce & trade | 3 | 1% | 57 | 3% | Azure Data Factory |
| Property & construction | 2 | 1% | 45 | 3% | even |
| Automotive | 1 | 0% | 24 | 1% | even |
| Health care | 1 | 0% | 54 | 3% | Azure Data Factory |
| Media & content | 1 | 0% | 25 | 2% | even |
| Transport, logistics & rental | 1 | 0% | 31 | 2% | even |
| Segment | Apache NiFi | share | Azure Data Factory | share | Leans |
|---|---|---|---|---|---|
| United States | 180 | 66% | 930 | 56% | Apache NiFi |
| United Kingdom | 13 | 5% | 131 | 8% | Azure Data Factory |
| France | 11 | 4% | 53 | 3% | even |
| India | 10 | 4% | 45 | 3% | even |
| Germany | 9 | 3% | 77 | 5% | even |
| Canada | 5 | 2% | 60 | 4% | even |
| Poland | 5 | 2% | 22 | 1% | even |
| Czechia | 4 | 1% | – | – | outside top 12 |
| Singapore | 4 | 1% | – | – | outside top 12 |
| Belgium | 3 | 1% | 24 | 1% | even |
| Romania | 3 | 1% | – | – | outside top 12 |
| United Arab Emirates | 2 | 1% | – | – | outside top 12 |
| Netherlands | – | – | 63 | 4% | outside top 12 |
| Australia | – | – | 30 | 2% | outside top 12 |
| Sweden | – | – | 23 | 1% | outside top 12 |
| Denmark | – | – | 16 | 1% | outside top 12 |
| Segment | Apache NiFi | share | Azure Data Factory | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 676 | 48% | 4,545 | 66% | Azure Data Factory |
| Software engineering | 444 | 31% | 847 | 12% | Apache NiFi |
| IT operations & business systems | 106 | 7% | 548 | 8% | even |
| Engineering (non-software) | 40 | 3% | 51 | 1% | Apache NiFi |
| Sales | 14 | 1% | 40 | 1% | even |
| Product, program & project management | 12 | 1% | 67 | 1% | even |
| General management & consulting | 5 | 0% | 33 | 0% | even |
| Customer service & success | 4 | 0% | 12 | 0% | even |
| Business development & strategy | 3 | 0% | – | – | outside top 12 |
| Public safety and protective services | 2 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 8 | 0% | even |
| Legal, compliance & risk | – | – | 15 | 0% | outside top 12 |
| Finance & accounting | – | – | 11 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 10 | 0% | outside top 12 |
The companies behind each column
Companies using Apache NiFi →
Companies using Azure Data Factory →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Azure Data Factory is named by 1,655 companies in job postings and Apache NiFi by 273; 54 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-nifi-vs-azure-data-factory)
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 NiFi vs Azure Data Factory: questions
Which is more used, Apache NiFi or Azure Data Factory?
By companies naming it in their own job postings, Azure Data Factory (1,655) over Apache NiFi (273). By website-and-DNS footprint, Azure Data Factory (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache NiFi?
48% of Apache NiFi companies have 2 to 200 employees, against 33% for Azure Data Factory. 30% of Apache NiFi companies have over 1,000 employees, against 40% for Azure Data Factory.
Do companies run both?
54 companies name both in their postings, usually Apache NiFi in marketing and Azure Data Factory 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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