Oracle BI Publisher VS SAP BusinessObjects
As of 30 October 2026, SAP BusinessObjects is named by 701 companies and Oracle BI Publisher by 334; Oracle BI Publisher skews to companies under 200 people (25% vs 26%), SAP BusinessObjects to companies over 1,000 (54% vs 53%).
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: Oracle BI Publisher's script and mail records show on hundreds of thousands of small sites, SAP BusinessObjects rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Oracle BI Publisher: 2–200 employees
- 25%
- SAP BusinessObjects: 2–200 employees
- 26%
- Oracle BI Publisher: 1,000+ employees
- 53%
- SAP BusinessObjects: 1,000+ employees
- 54%
- Postings per company, 90 days
- 3.3 · 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 | Oracle BI Publisher | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 4 | 1% | 2 | 0% | even |
| 2-10 employees | 19 | 6% | 35 | 5% | even |
| 11-50 employees | 27 | 8% | 60 | 9% | even |
| 51-200 employees | 36 | 11% | 90 | 13% | SAP BusinessObjects |
| 201-500 employees | 39 | 12% | 63 | 9% | Oracle BI Publisher |
| 501-1000 employees | 32 | 10% | 70 | 10% | even |
| 1001-5000 employees | 75 | 22% | 147 | 21% | even |
| 5001-10000 employees | 31 | 9% | 74 | 11% | even |
| 10,001+ employees | 71 | 21% | 160 | 23% | even |
| Segment | Oracle BI Publisher | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 118 | 35% | 185 | 26% | Oracle BI Publisher |
| Business & finance services | 63 | 19% | 165 | 24% | SAP BusinessObjects |
| Manufacturing & industry | 59 | 18% | 134 | 19% | even |
| Health care | 18 | 5% | 46 | 7% | even |
| Commerce & trade | 17 | 5% | 31 | 4% | even |
| Property & construction | 12 | 4% | 12 | 2% | even |
| Automotive | 9 | 3% | 13 | 2% | even |
| Consumer services & leisure | 8 | 2% | 16 | 2% | even |
| Utilities & infrastructure | 8 | 2% | 25 | 4% | even |
| Media & content | 7 | 2% | 20 | 3% | even |
| Transport, logistics & rental | 6 | 2% | 18 | 3% | even |
| Public, community & associations | 5 | 1% | 28 | 4% | SAP BusinessObjects |
| Segment | Oracle BI Publisher | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| United States | 228 | 68% | 415 | 59% | Oracle BI Publisher |
| United Kingdom | 25 | 7% | 39 | 6% | even |
| Canada | 13 | 4% | 18 | 3% | even |
| India | 12 | 4% | 10 | 1% | Oracle BI Publisher |
| Australia | 8 | 2% | 8 | 1% | even |
| United Arab Emirates | 4 | 1% | – | – | outside top 12 |
| Germany | 4 | 1% | 28 | 4% | SAP BusinessObjects |
| Netherlands | 3 | 1% | 12 | 2% | even |
| Sweden | 3 | 1% | – | – | outside top 12 |
| Singapore | 3 | 1% | – | – | outside top 12 |
| Brazil | 2 | 1% | – | – | outside top 12 |
| Switzerland | 2 | 1% | 9 | 1% | even |
| France | – | – | 81 | 12% | outside top 12 |
| Belgium | – | – | 10 | 1% | outside top 12 |
| Italy | – | – | 9 | 1% | outside top 12 |
| Austria | – | – | 8 | 1% | outside top 12 |
| Segment | Oracle BI Publisher | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 882 | 56% | 768 | 24% | Oracle BI Publisher |
| Software engineering | 266 | 17% | 264 | 8% | Oracle BI Publisher |
| Data & AI | 84 | 5% | 719 | 23% | SAP BusinessObjects |
| Human resources | 21 | 1% | 27 | 1% | even |
| Product, program & project management | 21 | 1% | 88 | 3% | even |
| General management & consulting | 11 | 1% | 45 | 1% | even |
| Healthcare clinical | 10 | 1% | – | – | outside top 12 |
| Finance & accounting | 7 | 0% | 354 | 11% | SAP BusinessObjects |
| Sales | 3 | 0% | 78 | 2% | SAP BusinessObjects |
| Administration & office | 2 | 0% | – | – | outside top 12 |
| Facilities cleaning and security | 2 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | 2 | 0% | 59 | 2% | even |
| Legal, compliance & risk | – | – | 29 | 1% | outside top 12 |
| Customer service & success | – | – | 26 | 1% | outside top 12 |
| Engineering (non-software) | – | – | 22 | 1% | outside top 12 |
The companies behind each column
Companies using Oracle BI Publisher →
Companies using SAP BusinessObjects →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP BusinessObjects is named by 701 companies in job postings and Oracle BI Publisher by 334; 20 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/oracle-bi-publisher-vs-sap-businessobjects)
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.
Oracle BI Publisher vs SAP BusinessObjects: questions
Which is more used, Oracle BI Publisher or SAP BusinessObjects?
By companies naming it in their own job postings, SAP BusinessObjects (701) over Oracle BI Publisher (334). By website-and-DNS footprint, SAP BusinessObjects (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Oracle BI Publisher?
25% of Oracle BI Publisher companies have 2 to 200 employees, against 26% for SAP BusinessObjects. 53% of Oracle BI Publisher companies have over 1,000 employees, against 54% for SAP BusinessObjects.
Do companies run both?
20 companies name both in their postings, usually Oracle BI Publisher in marketing and SAP BusinessObjects 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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