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Fleetora · first roles in DEAzure Data Factory VS Microsoft Power Query_
As of 4 November 2026, Microsoft Power Query is named by 3,661 companies and Azure Data Factory by 2,199; Azure Data Factory skews to companies under 200 people (32% vs 24%), Microsoft Power Query to companies over 1,000 (49% vs 41%).
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: Azure Data Factory's script and mail records show on hundreds of thousands of small sites, Microsoft Power Query rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Data Factory: 2–200 employees
- 32%
- Microsoft Power Query: 2–200 employees
- 24%
- Azure Data Factory: 1,000+ employees
- 41%
- Microsoft Power Query: 1,000+ employees
- 49%
- Postings per company, 90 days
- 2.7 · 2.2
- 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 | Azure Data Factory | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 33 | 2% | 50 | 1% | even |
| 2-10 employees | 122 | 6% | 136 | 4% | even |
| 11-50 employees | 222 | 10% | 239 | 7% | Azure Data Factory |
| 51-200 employees | 365 | 17% | 508 | 14% | Azure Data Factory |
| 201-500 employees | 315 | 14% | 541 | 15% | even |
| 501-1000 employees | 241 | 11% | 401 | 11% | even |
| 1001-5000 employees | 408 | 19% | 781 | 21% | Microsoft Power Query |
| 5001-10000 employees | 134 | 6% | 293 | 8% | even |
| 10,001+ employees | 359 | 16% | 712 | 19% | Microsoft Power Query |
| Segment | Azure Data Factory | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 846 | 38% | 595 | 16% | Azure Data Factory |
| Business & finance services | 521 | 24% | 878 | 24% | even |
| Manufacturing & industry | 256 | 12% | 837 | 23% | Microsoft Power Query |
| Commerce & trade | 86 | 4% | 253 | 7% | Microsoft Power Query |
| Health care | 79 | 4% | 147 | 4% | even |
| Utilities & infrastructure | 72 | 3% | 185 | 5% | even |
| Public, community & associations | 69 | 3% | 131 | 4% | even |
| Consumer services & leisure | 67 | 3% | 131 | 4% | even |
| Property & construction | 58 | 3% | 161 | 4% | even |
| Transport, logistics & rental | 45 | 2% | 102 | 3% | even |
| Automotive | 35 | 2% | 96 | 3% | even |
| Media & content | 31 | 1% | 70 | 2% | even |
| Segment | Azure Data Factory | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| United States | 1,188 | 54% | 1,901 | 52% | Azure Data Factory |
| United Kingdom | 169 | 8% | 242 | 7% | even |
| Germany | 88 | 4% | 209 | 6% | even |
| Canada | 83 | 4% | 166 | 5% | even |
| Netherlands | 72 | 3% | 44 | 1% | Azure Data Factory |
| France | 64 | 3% | 159 | 4% | even |
| India | 61 | 3% | 49 | 1% | even |
| Australia | 39 | 2% | 67 | 2% | even |
| Sweden | 32 | 1% | – | – | outside top 12 |
| Belgium | 29 | 1% | – | – | outside top 12 |
| Poland | 28 | 1% | 57 | 2% | even |
| Brazil | 26 | 1% | 145 | 4% | Microsoft Power Query |
| Spain | – | – | 52 | 1% | outside top 12 |
| Switzerland | – | – | 33 | 1% | outside top 12 |
| Segment | Azure Data Factory | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 5,212 | 66% | 2,582 | 28% | Azure Data Factory |
| Software engineering | 971 | 12% | 337 | 4% | Azure Data Factory |
| IT operations & business systems | 612 | 8% | 519 | 6% | Azure Data Factory |
| Product, program & project management | 75 | 1% | 252 | 3% | even |
| Engineering (non-software) | 57 | 1% | 249 | 3% | even |
| Sales | 39 | 0% | 144 | 2% | even |
| General management & consulting | 35 | 0% | 132 | 1% | even |
| Legal, compliance & risk | 19 | 0% | 134 | 1% | even |
| Customer service & success | 17 | 0% | 55 | 1% | even |
| Finance & accounting | 14 | 0% | 2,173 | 23% | Microsoft Power Query |
| Quality, safety & environment | 10 | 0% | 66 | 1% | even |
| Marketing & communications | 8 | 0% | 59 | 1% | even |
| construction and civil | 6 | 0% | 26 | 0% | even |
| skilled trades and field service | 6 | 0% | 37 | 0% | even |
| Unclassified | 6 | 0% | 38 | 0% | even |
| hospitality and food service | 4 | 0% | 10 | 0% | even |
| Human resources | 3 | 0% | 143 | 2% | even |
| logistics warehouse and transport | 3 | 0% | 391 | 4% | Microsoft Power Query |
| real estate and property | 3 | 0% | 4 | 0% | even |
| Administration & office | 2 | 0% | 70 | 1% | even |
| Business development & strategy | 2 | 0% | 68 | 1% | even |
| Design & UX | 2 | 0% | – | – | outside top 12 |
| research and science | 2 | 0% | 13 | 0% | even |
| Education & training | 1 | 0% | 22 | 0% | even |
| manufacturing and production | 1 | 0% | 102 | 1% | even |
| Retail & store operations | 1 | 0% | 10 | 0% | even |
| procurement and purchasing | – | – | 110 | 1% | outside top 12 |
| healthcare clinical | – | – | 16 | 0% | outside top 12 |
| arts media and entertainment | – | – | 4 | 0% | outside top 12 |
| facilities cleaning and security | – | – | 4 | 0% | outside top 12 |
| public safety and protective services | – | – | 4 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Data Factory →
Companies using Microsoft Power Query →
etl elt transformation ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Microsoft Power Query is named by 3,661 companies in job postings and Azure Data Factory by 2,199; 277 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/azure-data-factory-vs-microsoft-power-query)
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.
Azure Data Factory vs Microsoft Power Query: questions
Which is more used, Azure Data Factory or Microsoft Power Query?
By companies naming it in their own job postings, Microsoft Power Query (3,661) over Azure Data Factory (2,199). By website-and-DNS footprint, Microsoft Power Query (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Data Factory?
32% of Azure Data Factory companies have 2 to 200 employees, against 24% for Microsoft Power Query. 41% of Azure Data Factory companies have over 1,000 employees, against 49% for Microsoft Power Query.
Do companies run both?
277 companies name both in their postings, usually Azure Data Factory in marketing and Microsoft Power Query 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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