Microsoft Power Pivot VS Qlik Sense
As of 30 October 2026, Qlik Sense is named by 368 companies and Microsoft Power Pivot by 319; Microsoft Power Pivot skews to companies under 200 people (18% vs 24%), Qlik Sense to companies over 1,000 (52% vs 55%).
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: Microsoft Power Pivot's script and mail records show on hundreds of thousands of small sites, Qlik Sense rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Microsoft Power Pivot: 2–200 employees
- 18%
- Qlik Sense: 2–200 employees
- 24%
- Microsoft Power Pivot: 1,000+ employees
- 55%
- Qlik Sense: 1,000+ employees
- 52%
- Postings per company, 90 days
- 1.9 · 2.9
- 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 | Microsoft Power Pivot | share | Qlik Sense | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 1% | – | – | outside top 12 |
| 2-10 employees | 10 | 3% | 11 | 3% | even |
| 11-50 employees | 17 | 5% | 35 | 10% | Qlik Sense |
| 51-200 employees | 29 | 9% | 43 | 12% | Qlik Sense |
| 201-500 employees | 45 | 14% | 42 | 11% | Microsoft Power Pivot |
| 501-1000 employees | 38 | 12% | 45 | 12% | even |
| 1001-5000 employees | 70 | 22% | 76 | 21% | even |
| 5001-10000 employees | 30 | 9% | 39 | 11% | even |
| 10,001+ employees | 77 | 24% | 77 | 21% | Microsoft Power Pivot |
| Segment | Microsoft Power Pivot | share | Qlik Sense | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 79 | 25% | 73 | 20% | Microsoft Power Pivot |
| Business & finance services | 77 | 24% | 66 | 18% | Microsoft Power Pivot |
| Technology & software | 51 | 16% | 107 | 29% | Qlik Sense |
| Commerce & trade | 23 | 7% | 30 | 8% | even |
| Utilities & infrastructure | 18 | 6% | 10 | 3% | Microsoft Power Pivot |
| Automotive | 12 | 4% | 10 | 3% | even |
| Health care | 12 | 4% | 18 | 5% | even |
| Consumer services & leisure | 11 | 3% | 7 | 2% | even |
| Transport, logistics & rental | 10 | 3% | 11 | 3% | even |
| Public, community & associations | 9 | 3% | 8 | 2% | even |
| Property & construction | 5 | 2% | 9 | 2% | even |
| Agriculture & forestry | 4 | 1% | – | – | outside top 12 |
| Media & content | – | – | 12 | 3% | outside top 12 |
| Segment | Microsoft Power Pivot | share | Qlik Sense | share | Leans |
|---|---|---|---|---|---|
| United States | 170 | 53% | 157 | 43% | Microsoft Power Pivot |
| Germany | 26 | 8% | 39 | 11% | Qlik Sense |
| United Kingdom | 20 | 6% | 29 | 8% | even |
| Canada | 12 | 4% | 6 | 2% | Microsoft Power Pivot |
| France | 12 | 4% | 27 | 7% | Qlik Sense |
| Poland | 9 | 3% | – | – | outside top 12 |
| Switzerland | 6 | 2% | 8 | 2% | even |
| Austria | 4 | 1% | – | – | outside top 12 |
| Brazil | 4 | 1% | 7 | 2% | even |
| Spain | 4 | 1% | – | – | outside top 12 |
| India | 4 | 1% | – | – | outside top 12 |
| Australia | 3 | 1% | – | – | outside top 12 |
| Italy | – | – | 13 | 4% | outside top 12 |
| Sweden | – | – | 12 | 3% | outside top 12 |
| Singapore | – | – | 12 | 3% | outside top 12 |
| Belgium | – | – | 10 | 3% | outside top 12 |
| Netherlands | – | – | 8 | 2% | outside top 12 |
| Segment | Microsoft Power Pivot | share | Qlik Sense | share | Leans |
|---|---|---|---|---|---|
| Finance & accounting | 261 | 32% | 127 | 9% | Microsoft Power Pivot |
| Data & AI | 168 | 21% | 632 | 46% | Qlik Sense |
| IT operations & business systems | 73 | 9% | 87 | 6% | Microsoft Power Pivot |
| Logistics warehouse and transport | 28 | 3% | 34 | 2% | even |
| Product, program & project management | 20 | 2% | 45 | 3% | even |
| Business development & strategy | 19 | 2% | – | – | outside top 12 |
| Sales | 15 | 2% | 43 | 3% | even |
| Human resources | 13 | 2% | – | – | outside top 12 |
| Quality, safety & environment | 12 | 1% | 11 | 1% | even |
| Procurement and purchasing | 10 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 7 | 1% | 22 | 2% | even |
| General management & consulting | 7 | 1% | 18 | 1% | even |
| Software engineering | – | – | 43 | 3% | outside top 12 |
| Marketing & communications | – | – | 24 | 2% | outside top 12 |
| Legal, compliance & risk | – | – | 21 | 2% | outside top 12 |
The companies behind each column
Companies using Microsoft Power Pivot →
Companies using Qlik Sense →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Qlik Sense is named by 368 companies in job postings and Microsoft Power Pivot by 319; 3 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/microsoft-power-pivot-vs-qlik-sense)
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.
Microsoft Power Pivot vs Qlik Sense: questions
Which is more used, Microsoft Power Pivot or Qlik Sense?
By companies naming it in their own job postings, Qlik Sense (368) over Microsoft Power Pivot (319). By website-and-DNS footprint, Qlik Sense (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Microsoft Power Pivot?
18% of Microsoft Power Pivot companies have 2 to 200 employees, against 24% for Qlik Sense. 55% of Microsoft Power Pivot companies have over 1,000 employees, against 52% for Qlik Sense.
Do companies run both?
3 companies name both in their postings, usually Microsoft Power Pivot in marketing and Qlik Sense 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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