Power BI VS Oracle Analytics Cloud
As of 30 October 2026, Oracle Analytics Cloud is named by 120 companies and Power BI by 13,871; Power BI skews to companies under 200 people (34% vs 37%), Oracle Analytics Cloud to companies over 1,000 (33% vs 36%).
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: Power BI's script and mail records show on hundreds of thousands of small sites, Oracle Analytics Cloud rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Power BI: 2–200 employees
- 34%
- Oracle Analytics Cloud: 2–200 employees
- 37%
- Power BI: 1,000+ employees
- 36%
- Oracle Analytics Cloud: 1,000+ employees
- 33%
- Postings per company, 90 days
- 5.4 · 2.4
- 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 | Power BI | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 91 | 1% | 1 | 1% | even |
| 2-10 employees | 616 | 4% | 6 | 5% | even |
| 11-50 employees | 1,462 | 11% | 13 | 11% | even |
| 51-200 employees | 2,578 | 19% | 25 | 21% | Oracle Analytics Cloud |
| 201-500 employees | 2,321 | 17% | 18 | 15% | even |
| 501-1000 employees | 1,827 | 13% | 18 | 15% | even |
| 1001-5000 employees | 2,876 | 21% | 19 | 16% | Power BI |
| 5001-10000 employees | 798 | 6% | 6 | 5% | even |
| 10,001+ employees | 1,302 | 9% | 14 | 12% | Oracle Analytics Cloud |
| Segment | Power BI | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Business & finance services | 3,070 | 22% | 24 | 20% | Power BI |
| Technology & software | 3,031 | 22% | 23 | 19% | Power BI |
| Manufacturing & industry | 2,536 | 18% | 17 | 14% | Power BI |
| Commerce & trade | 816 | 6% | 1 | 1% | Power BI |
| Property & construction | 680 | 5% | 38 | 32% | Oracle Analytics Cloud |
| Utilities & infrastructure | 668 | 5% | 2 | 2% | Power BI |
| Public, community & associations | 639 | 5% | 4 | 3% | even |
| Health care | 585 | 4% | 4 | 3% | even |
| Consumer services & leisure | 449 | 3% | 3 | 3% | even |
| Transport, logistics & rental | 443 | 3% | – | – | outside top 12 |
| Media & content | 359 | 3% | – | – | outside top 12 |
| Automotive | 309 | 2% | 4 | 3% | even |
| Segment | Power BI | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| United States | 7,484 | 54% | 89 | 74% | Oracle Analytics Cloud |
| United Kingdom | 1,024 | 7% | 6 | 5% | Power BI |
| Germany | 900 | 6% | 2 | 2% | Power BI |
| France | 515 | 4% | 3 | 3% | even |
| Canada | 510 | 4% | 5 | 4% | even |
| Brazil | 377 | 3% | 2 | 2% | even |
| Netherlands | 369 | 3% | 2 | 2% | even |
| Australia | 281 | 2% | – | – | outside top 12 |
| India | 245 | 2% | – | – | outside top 12 |
| Spain | 205 | 1% | – | – | outside top 12 |
| Poland | 154 | 1% | 2 | 2% | even |
| Italy | 149 | 1% | – | – | outside top 12 |
| United Arab Emirates | – | – | 2 | 2% | outside top 12 |
| Greece | – | – | 2 | 2% | outside top 12 |
| Switzerland | – | – | 1 | 1% | outside top 12 |
| Lithuania | – | – | 1 | 1% | outside top 12 |
| Segment | Power BI | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 18,251 | 20% | 60 | 15% | Power BI |
| Finance & accounting | 13,010 | 15% | 15 | 4% | Power BI |
| IT operations & business systems | 6,734 | 8% | 73 | 19% | Oracle Analytics Cloud |
| Product, program & project management | 5,168 | 6% | 52 | 13% | Oracle Analytics Cloud |
| Logistics warehouse and transport | 3,383 | 4% | – | – | outside top 12 |
| Software engineering | 3,106 | 3% | 20 | 5% | even |
| Engineering (non-software) | 3,006 | 3% | 21 | 5% | even |
| Sales | 2,797 | 3% | – | – | outside top 12 |
| General management & consulting | 2,248 | 3% | 7 | 2% | even |
| Marketing & communications | 2,106 | 2% | 2 | 1% | even |
| Quality, safety & environment | 1,818 | 2% | – | – | outside top 12 |
| Legal, compliance & risk | 1,653 | 2% | – | – | outside top 12 |
| Construction and civil | – | – | 61 | 16% | outside top 12 |
| Administration & office | – | – | 2 | 1% | outside top 12 |
| Business development & strategy | – | – | 2 | 1% | outside top 12 |
| Design & UX | – | – | 2 | 1% | outside top 12 |
The companies behind each column
Companies using Power BI →
Companies using Oracle Analytics Cloud →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Oracle Analytics Cloud is named by 120 companies in job postings and Power BI by 13,871; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/microsoft-power-bi-vs-oracle-analytics-cloud)
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.
Power BI vs Oracle Analytics Cloud: questions
Which is more used, Power BI or Oracle Analytics Cloud?
By companies naming it in their own job postings, Power BI (13,871) over Oracle Analytics Cloud (120). By website-and-DNS footprint, Oracle Analytics Cloud (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Power BI?
34% of Power BI companies have 2 to 200 employees, against 37% for Oracle Analytics Cloud. 36% of Power BI companies have over 1,000 employees, against 33% for Oracle Analytics Cloud.
Do companies run both?
0 companies name both in their postings, usually Power BI in marketing and Oracle Analytics Cloud 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
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Every company on either tool,
with the person who owns it
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