Apache Superset VS Power BI
As of 30 October 2026, Power BI is named by 13,871 companies and Apache Superset by 218; Apache Superset skews to companies under 200 people (50% vs 34%), Power BI to companies over 1,000 (36% 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: Apache Superset's script and mail records show on hundreds of thousands of small sites, Power BI rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Superset: 2–200 employees
- 50%
- Power BI: 2–200 employees
- 34%
- Apache Superset: 1,000+ employees
- 32%
- Power BI: 1,000+ employees
- 36%
- Postings per company, 90 days
- 2.0 · 5.4
- 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 Superset | share | Power BI | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 2% | 91 | 1% | even |
| 2-10 employees | 12 | 6% | 616 | 4% | even |
| 11-50 employees | 43 | 20% | 1,462 | 11% | Apache Superset |
| 51-200 employees | 55 | 25% | 2,578 | 19% | Apache Superset |
| 201-500 employees | 22 | 10% | 2,321 | 17% | Power BI |
| 501-1000 employees | 11 | 5% | 1,827 | 13% | Power BI |
| 1001-5000 employees | 40 | 18% | 2,876 | 21% | Power BI |
| 5001-10000 employees | 9 | 4% | 798 | 6% | even |
| 10,001+ employees | 21 | 10% | 1,302 | 9% | even |
| Segment | Apache Superset | share | Power BI | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 100 | 46% | 3,031 | 22% | Apache Superset |
| Business & finance services | 46 | 21% | 3,070 | 22% | even |
| Media & content | 19 | 9% | 359 | 3% | Apache Superset |
| Manufacturing & industry | 18 | 8% | 2,536 | 18% | Power BI |
| Public, community & associations | 11 | 5% | 639 | 5% | even |
| Consumer services & leisure | 4 | 2% | 449 | 3% | even |
| Transport, logistics & rental | 4 | 2% | 443 | 3% | even |
| Utilities & infrastructure | 4 | 2% | 668 | 5% | Power BI |
| Commerce & trade | 3 | 1% | 816 | 6% | Power BI |
| Health care | 3 | 1% | 585 | 4% | Power BI |
| Automotive | 2 | 1% | 309 | 2% | even |
| Hospitality & travel | 2 | 1% | – | – | outside top 12 |
| Property & construction | – | – | 680 | 5% | outside top 12 |
| Segment | Apache Superset | share | Power BI | share | Leans |
|---|---|---|---|---|---|
| United States | 121 | 56% | 7,484 | 54% | even |
| United Kingdom | 19 | 9% | 1,024 | 7% | even |
| France | 10 | 5% | 515 | 4% | even |
| India | 10 | 5% | 245 | 2% | Apache Superset |
| Germany | 7 | 3% | 900 | 6% | Power BI |
| Belgium | 4 | 2% | – | – | outside top 12 |
| Brazil | 4 | 2% | 377 | 3% | even |
| Switzerland | 4 | 2% | – | – | outside top 12 |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Australia | 3 | 1% | 281 | 2% | even |
| Canada | 3 | 1% | 510 | 4% | Power BI |
| China | 2 | 1% | – | – | outside top 12 |
| Netherlands | – | – | 369 | 3% | outside top 12 |
| Spain | – | – | 205 | 1% | outside top 12 |
| Poland | – | – | 154 | 1% | outside top 12 |
| Italy | – | – | 149 | 1% | outside top 12 |
| Segment | Apache Superset | share | Power BI | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 291 | 49% | 18,251 | 20% | Apache Superset |
| Software engineering | 73 | 12% | 3,106 | 3% | Apache Superset |
| Product, program & project management | 37 | 6% | 5,168 | 6% | even |
| Marketing & communications | 31 | 5% | 2,106 | 2% | Apache Superset |
| IT operations & business systems | 20 | 3% | 6,734 | 8% | Power BI |
| Finance & accounting | 15 | 3% | 13,010 | 15% | Power BI |
| Legal, compliance & risk | 13 | 2% | 1,653 | 2% | even |
| Sales | 11 | 2% | 2,797 | 3% | even |
| Engineering (non-software) | 7 | 1% | 3,006 | 3% | Power BI |
| Business development & strategy | 6 | 1% | – | – | outside top 12 |
| Customer service & success | 2 | 0% | – | – | outside top 12 |
| General management & consulting | 2 | 0% | 2,248 | 3% | Power BI |
| Logistics warehouse and transport | – | – | 3,383 | 4% | outside top 12 |
| Quality, safety & environment | – | – | 1,818 | 2% | outside top 12 |
The companies behind each column
Companies using Apache Superset →
Companies using Power BI →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Power BI is named by 13,871 companies in job postings and Apache Superset by 218; 131 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-superset-vs-microsoft-power-bi)
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 Superset vs Power BI: questions
Which is more used, Apache Superset or Power BI?
By companies naming it in their own job postings, Power BI (13,871) over Apache Superset (218). By website-and-DNS footprint, Power BI (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Superset?
50% of Apache Superset companies have 2 to 200 employees, against 34% for Power BI. 32% of Apache Superset companies have over 1,000 employees, against 36% for Power BI.
Do companies run both?
131 companies name both in their postings, usually Apache Superset in marketing and Power BI 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
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