LookML VS Microsoft Power Pivot
As of 30 October 2026, Microsoft Power Pivot is named by 319 companies and LookML by 156; LookML skews to companies under 200 people (42% vs 18%), Microsoft Power Pivot to companies over 1,000 (55% vs 32%).
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: LookML's script and mail records show on hundreds of thousands of small sites, Microsoft Power Pivot rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- LookML: 2–200 employees
- 42%
- Microsoft Power Pivot: 2–200 employees
- 18%
- LookML: 1,000+ employees
- 32%
- Microsoft Power Pivot: 1,000+ employees
- 55%
- Postings per company, 90 days
- 1.9 · 1.9
- 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 | LookML | share | Microsoft Power Pivot | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | 3 | 1% | even |
| 2-10 employees | 6 | 4% | 10 | 3% | even |
| 11-50 employees | 19 | 12% | 17 | 5% | LookML |
| 51-200 employees | 40 | 26% | 29 | 9% | LookML |
| 201-500 employees | 24 | 15% | 45 | 14% | even |
| 501-1000 employees | 16 | 10% | 38 | 12% | even |
| 1001-5000 employees | 32 | 21% | 70 | 22% | even |
| 5001-10000 employees | 6 | 4% | 30 | 9% | Microsoft Power Pivot |
| 10,001+ employees | 12 | 8% | 77 | 24% | Microsoft Power Pivot |
| Segment | LookML | share | Microsoft Power Pivot | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 85 | 54% | 51 | 16% | LookML |
| Business & finance services | 26 | 17% | 77 | 24% | Microsoft Power Pivot |
| Commerce & trade | 10 | 6% | 23 | 7% | even |
| Manufacturing & industry | 9 | 6% | 79 | 25% | Microsoft Power Pivot |
| Media & content | 6 | 4% | – | – | outside top 12 |
| Consumer services & leisure | 4 | 3% | 11 | 3% | even |
| Health care | 4 | 3% | 12 | 4% | even |
| Transport, logistics & rental | 4 | 3% | 10 | 3% | even |
| Automotive | 2 | 1% | 12 | 4% | Microsoft Power Pivot |
| Public, community & associations | 2 | 1% | 9 | 3% | even |
| Property & construction | 2 | 1% | 5 | 2% | even |
| Agriculture & forestry | 1 | 1% | 4 | 1% | even |
| Utilities & infrastructure | – | – | 18 | 6% | outside top 12 |
| Segment | LookML | share | Microsoft Power Pivot | share | Leans |
|---|---|---|---|---|---|
| United States | 97 | 62% | 170 | 53% | LookML |
| United Kingdom | 14 | 9% | 20 | 6% | LookML |
| France | 5 | 3% | 12 | 4% | even |
| India | 5 | 3% | 4 | 1% | even |
| Germany | 4 | 3% | 26 | 8% | Microsoft Power Pivot |
| Japan | 3 | 2% | – | – | outside top 12 |
| Poland | 3 | 2% | 9 | 3% | even |
| Australia | 2 | 1% | 3 | 1% | even |
| Brazil | 2 | 1% | 4 | 1% | even |
| Canada | 2 | 1% | 12 | 4% | Microsoft Power Pivot |
| Switzerland | 2 | 1% | 6 | 2% | even |
| Denmark | 2 | 1% | – | – | outside top 12 |
| Austria | – | – | 4 | 1% | outside top 12 |
| Spain | – | – | 4 | 1% | outside top 12 |
| Segment | LookML | share | Microsoft Power Pivot | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 263 | 74% | 168 | 21% | LookML |
| Software engineering | 24 | 7% | – | – | outside top 12 |
| IT operations & business systems | 11 | 3% | 73 | 9% | Microsoft Power Pivot |
| Sales | 9 | 3% | 15 | 2% | even |
| Product, program & project management | 7 | 2% | 20 | 2% | even |
| Human resources | 2 | 1% | 13 | 2% | even |
| Finance & accounting | 1 | 0% | 261 | 32% | Microsoft Power Pivot |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | – | – | outside top 12 |
| Retail & store operations | 1 | 0% | – | – | outside top 12 |
| Unclassified | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 28 | 3% | outside top 12 |
| Business development & strategy | – | – | 19 | 2% | outside top 12 |
| Quality, safety & environment | – | – | 12 | 1% | outside top 12 |
| Procurement and purchasing | – | – | 10 | 1% | outside top 12 |
| Engineering (non-software) | – | – | 7 | 1% | outside top 12 |
| General management & consulting | – | – | 7 | 1% | outside top 12 |
The companies behind each column
Companies using LookML →
Companies using Microsoft Power Pivot →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Microsoft Power Pivot is named by 319 companies in job postings and LookML by 156; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/lookml-vs-microsoft-power-pivot)
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.
LookML vs Microsoft Power Pivot: questions
Which is more used, LookML or Microsoft Power Pivot?
By companies naming it in their own job postings, Microsoft Power Pivot (319) over LookML (156). By website-and-DNS footprint, Microsoft Power Pivot (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses LookML?
42% of LookML companies have 2 to 200 employees, against 18% for Microsoft Power Pivot. 32% of LookML companies have over 1,000 employees, against 55% for Microsoft Power Pivot.
Do companies run both?
0 companies name both in their postings, usually LookML in marketing and Microsoft Power Pivot 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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