Fivetran VS Microsoft Power Query
As of 30 October 2026, Microsoft Power Query is named by 2,648 companies and Fivetran by 478; Fivetran skews to companies under 200 people (42% vs 24%), Microsoft Power Query to companies over 1,000 (50% vs 31%).
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: Fivetran'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.
- Fivetran: 2–200 employees
- 42%
- Microsoft Power Query: 2–200 employees
- 24%
- Fivetran: 1,000+ employees
- 31%
- Microsoft Power Query: 1,000+ employees
- 50%
- Postings per company, 90 days
- 1.9 · 2.5
- 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 | Fivetran | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 0% | 19 | 1% | even |
| 2-10 employees | 38 | 8% | 89 | 3% | Fivetran |
| 11-50 employees | 61 | 13% | 173 | 7% | Fivetran |
| 51-200 employees | 104 | 22% | 371 | 14% | Fivetran |
| 201-500 employees | 66 | 14% | 387 | 15% | even |
| 501-1000 employees | 59 | 12% | 290 | 11% | even |
| 1001-5000 employees | 92 | 19% | 580 | 22% | Microsoft Power Query |
| 5001-10000 employees | 20 | 4% | 220 | 8% | Microsoft Power Query |
| 10,001+ employees | 36 | 8% | 519 | 20% | Microsoft Power Query |
| Segment | Fivetran | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 225 | 47% | 448 | 17% | Fivetran |
| Business & finance services | 104 | 22% | 636 | 24% | Microsoft Power Query |
| Manufacturing & industry | 36 | 8% | 632 | 24% | Microsoft Power Query |
| Commerce & trade | 21 | 4% | 168 | 6% | even |
| Property & construction | 14 | 3% | 119 | 4% | even |
| Consumer services & leisure | 13 | 3% | 70 | 3% | even |
| Media & content | 13 | 3% | 49 | 2% | even |
| Health care | 12 | 3% | 112 | 4% | even |
| Hospitality & travel | 10 | 2% | – | – | outside top 12 |
| Utilities & infrastructure | 10 | 2% | 135 | 5% | Microsoft Power Query |
| Public, community & associations | 9 | 2% | 95 | 4% | even |
| Automotive | 5 | 1% | 65 | 2% | even |
| Transport, logistics & rental | – | – | 71 | 3% | outside top 12 |
| Segment | Fivetran | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| United States | 355 | 74% | 1,449 | 55% | Fivetran |
| United Kingdom | 41 | 9% | 185 | 7% | even |
| France | 13 | 3% | 122 | 5% | even |
| Germany | 8 | 2% | 172 | 6% | Microsoft Power Query |
| Australia | 7 | 1% | 49 | 2% | even |
| Canada | 6 | 1% | 128 | 5% | Microsoft Power Query |
| India | 6 | 1% | 35 | 1% | even |
| Sweden | 4 | 1% | – | – | outside top 12 |
| Belgium | 3 | 1% | – | – | outside top 12 |
| Ireland | 3 | 1% | – | – | outside top 12 |
| Netherlands | 3 | 1% | 39 | 1% | even |
| Singapore | 3 | 1% | – | – | outside top 12 |
| Brazil | – | – | 77 | 3% | outside top 12 |
| Poland | – | – | 45 | 2% | outside top 12 |
| Switzerland | – | – | 32 | 1% | outside top 12 |
| Spain | – | – | 32 | 1% | outside top 12 |
| Segment | Fivetran | share | Microsoft Power Query | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 833 | 68% | 2,201 | 28% | Fivetran |
| Software engineering | 101 | 8% | 283 | 4% | Fivetran |
| Sales | 58 | 5% | 130 | 2% | Fivetran |
| IT operations & business systems | 52 | 4% | 435 | 5% | even |
| Product, program & project management | 25 | 2% | 217 | 3% | even |
| Marketing & communications | 22 | 2% | – | – | outside top 12 |
| Business development & strategy | 13 | 1% | – | – | outside top 12 |
| Customer service & success | 11 | 1% | – | – | outside top 12 |
| Finance & accounting | 8 | 1% | 1,796 | 23% | Microsoft Power Query |
| Engineering (non-software) | 5 | 0% | 221 | 3% | Microsoft Power Query |
| General management & consulting | 4 | 0% | 118 | 1% | even |
| Arts media and entertainment | 2 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 314 | 4% | outside top 12 |
| Human resources | – | – | 116 | 1% | outside top 12 |
| Legal, compliance & risk | – | – | 115 | 1% | outside top 12 |
| Manufacturing and production | – | – | 99 | 1% | outside top 12 |
The companies behind each column
Companies using Fivetran →
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 2,648 companies in job postings and Fivetran by 478; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/fivetran-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.
Fivetran vs Microsoft Power Query: questions
Which is more used, Fivetran or Microsoft Power Query?
By companies naming it in their own job postings, Microsoft Power Query (2,648) over Fivetran (478). 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 Fivetran?
42% of Fivetran companies have 2 to 200 employees, against 24% for Microsoft Power Query. 31% of Fivetran companies have over 1,000 employees, against 50% for Microsoft Power Query.
Do companies run both?
0 companies name both in their postings, usually Fivetran 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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