Databricks AI/BI Genie VS SAP BI
As of 30 October 2026, SAP BI is named by 109 companies and Databricks AI/BI Genie by 183; Databricks AI/BI Genie skews to companies under 200 people (23% vs 24%), SAP BI to companies over 1,000 (62% 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: Databricks AI/BI Genie's script and mail records show on hundreds of thousands of small sites, SAP BI rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Databricks AI/BI Genie: 2–200 employees
- 23%
- SAP BI: 2–200 employees
- 24%
- Databricks AI/BI Genie: 1,000+ employees
- 53%
- SAP BI: 1,000+ employees
- 62%
- Postings per company, 90 days
- 7.3 · 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 | Databricks AI/BI Genie | share | SAP BI | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 1% | – | – | outside top 12 |
| 2-10 employees | 6 | 3% | 4 | 4% | even |
| 11-50 employees | 9 | 5% | 11 | 10% | SAP BI |
| 51-200 employees | 27 | 15% | 11 | 10% | Databricks AI/BI Genie |
| 201-500 employees | 24 | 13% | 11 | 10% | Databricks AI/BI Genie |
| 501-1000 employees | 18 | 10% | 4 | 4% | Databricks AI/BI Genie |
| 1001-5000 employees | 39 | 21% | 17 | 16% | Databricks AI/BI Genie |
| 5001-10000 employees | 13 | 7% | 10 | 9% | SAP BI |
| 10,001+ employees | 45 | 25% | 41 | 38% | SAP BI |
| Segment | Databricks AI/BI Genie | share | SAP BI | share | Leans |
|---|---|---|---|---|---|
| Business & finance services | 52 | 28% | 15 | 14% | Databricks AI/BI Genie |
| Technology & software | 45 | 25% | 31 | 28% | SAP BI |
| Manufacturing & industry | 23 | 13% | 35 | 32% | SAP BI |
| Property & construction | 11 | 6% | – | – | outside top 12 |
| Automotive | 8 | 4% | 4 | 4% | even |
| Commerce & trade | 8 | 4% | 3 | 3% | even |
| Health care | 7 | 4% | 5 | 5% | even |
| Media & content | 7 | 4% | 2 | 2% | even |
| Utilities & infrastructure | 6 | 3% | 4 | 4% | even |
| Public, community & associations | 5 | 3% | 2 | 2% | even |
| Hospitality & travel | 4 | 2% | 2 | 2% | even |
| Transport, logistics & rental | 4 | 2% | 4 | 4% | even |
| Consumer services & leisure | – | – | 2 | 2% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | SAP BI | share | Leans |
|---|---|---|---|---|---|
| United States | 119 | 65% | 39 | 36% | Databricks AI/BI Genie |
| United Kingdom | 12 | 7% | 6 | 6% | even |
| Canada | 7 | 4% | 4 | 4% | even |
| Germany | 7 | 4% | 21 | 19% | SAP BI |
| Australia | 6 | 3% | 4 | 4% | even |
| France | 5 | 3% | 7 | 6% | SAP BI |
| Brazil | 3 | 2% | – | – | outside top 12 |
| Netherlands | 3 | 2% | 4 | 4% | SAP BI |
| Austria | 2 | 1% | 2 | 2% | even |
| Switzerland | 2 | 1% | 3 | 3% | even |
| Denmark | 2 | 1% | – | – | outside top 12 |
| Finland | 2 | 1% | – | – | outside top 12 |
| India | – | – | 5 | 5% | outside top 12 |
| Spain | – | – | 3 | 3% | outside top 12 |
| Belgium | – | – | 2 | 2% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | SAP BI | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 400 | 21% | 14 | 3% | Databricks AI/BI Genie |
| Data & AI | 391 | 20% | 86 | 18% | Databricks AI/BI Genie |
| Sales | 369 | 19% | 4 | 1% | Databricks AI/BI Genie |
| IT operations & business systems | 216 | 11% | 216 | 45% | SAP BI |
| Product, program & project management | 101 | 5% | 13 | 3% | Databricks AI/BI Genie |
| Marketing & communications | 37 | 2% | – | – | outside top 12 |
| Customer service & success | 20 | 1% | 1 | 0% | even |
| Human resources | 20 | 1% | – | – | outside top 12 |
| Finance & accounting | 19 | 1% | 31 | 6% | SAP BI |
| Engineering (non-software) | 18 | 1% | 2 | 0% | even |
| Business development & strategy | 17 | 1% | – | – | outside top 12 |
| Design & UX | 11 | 1% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 25 | 5% | outside top 12 |
| General management & consulting | – | – | 4 | 1% | outside top 12 |
| Legal, compliance & risk | – | – | 4 | 1% | outside top 12 |
| Procurement and purchasing | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks AI/BI Genie →
Companies using SAP BI →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP BI is named by 109 companies in job postings and Databricks AI/BI Genie by 183; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/databricks-genie-vs-sap-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.
Databricks AI/BI Genie vs SAP BI: questions
Which is more used, Databricks AI/BI Genie or SAP BI?
By companies naming it in their own job postings, Databricks AI/BI Genie (183) over SAP BI (109). By website-and-DNS footprint, SAP BI (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Databricks AI/BI Genie?
23% of Databricks AI/BI Genie companies have 2 to 200 employees, against 24% for SAP BI. 53% of Databricks AI/BI Genie companies have over 1,000 employees, against 62% for SAP BI.
Do companies run both?
0 companies name both in their postings, usually Databricks AI/BI Genie in marketing and SAP 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.
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