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Databricks AI/BI Genie VS Oracle Business Intelligence Enterprise Edition

As of 30 October 2026, Oracle Business Intelligence Enterprise Edition is named by 235 companies and Databricks AI/BI Genie by 183; Databricks AI/BI Genie skews to companies under 200 people (23% vs 35%), Oracle Business Intelligence Enterprise Edition to companies over 1,000 (47% 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, Oracle Business Intelligence Enterprise Edition 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%
Oracle Business Intelligence Enterprise Edition: 2–200 employees
35%
Databricks AI/BI Genie: 1,000+ employees
53%
Oracle Business Intelligence Enterprise Edition: 1,000+ employees
47%
Postings per company, 90 days
7.3 · 2.9
Website or DNS footprint
0 · 0
183companies name Databricks AI/BI Genie
235companies name Oracle Business Intelligence Enterprise Edition
0name both
1,345 · 671postings in 90 days, Databricks AI/BI Genie · Oracle Business Intelligence Enterprise Edition
02Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentDatabricks AI/BI GenieshareOracle Business Intelligence Enterprise EditionshareLeans
Self-employed21%––outside top 12
2-10 employees63%156%Oracle Business Intelligence Enterprise Edition
11-50 employees95%3515%Oracle Business Intelligence Enterprise Edition
51-200 employees2715%3214%even
201-500 employees2413%219%Databricks AI/BI Genie
501-1000 employees1810%229%even
1001-5000 employees3921%3515%Databricks AI/BI Genie
5001-10000 employees137%229%Oracle Business Intelligence Enterprise Edition
10,001+ employees4525%5323%Databricks AI/BI Genie
By industry
SegmentDatabricks AI/BI GenieshareOracle Business Intelligence Enterprise EditionshareLeans
Business & finance services5228%5122%Databricks AI/BI Genie
Technology & software4525%8335%Oracle Business Intelligence Enterprise Edition
Manufacturing & industry2313%3515%Oracle Business Intelligence Enterprise Edition
Property & construction116%––outside top 12
Automotive84%63%even
Commerce & trade84%73%even
Health care74%146%Oracle Business Intelligence Enterprise Edition
Media & content74%31%Databricks AI/BI Genie
Utilities & infrastructure63%83%even
Public, community & associations53%63%even
Hospitality & travel42%42%even
Transport, logistics & rental42%63%even
Consumer services & leisure––94%outside top 12
By country
SegmentDatabricks AI/BI GenieshareOracle Business Intelligence Enterprise EditionshareLeans
United States11965%15666%even
United Kingdom127%115%even
Canada74%94%even
Germany74%83%even
Australia63%42%even
France53%52%even
Brazil32%31%even
Netherlands32%63%even
Austria21%––outside top 12
Switzerland21%––outside top 12
Denmark21%––outside top 12
Finland21%––outside top 12
Italy––52%outside top 12
India––31%outside top 12
Poland––31%outside top 12
Singapore––31%outside top 12
Postings by team (share of each tool's postings)
SegmentDatabricks AI/BI GenieshareOracle Business Intelligence Enterprise EditionshareLeans
Software engineering40021%20817%Databricks AI/BI Genie
Data & AI39120%25721%even
Sales36919%302%Databricks AI/BI Genie
IT operations & business systems21611%27523%Oracle Business Intelligence Enterprise Edition
Product, program & project management1015%343%Databricks AI/BI Genie
Marketing & communications372%––outside top 12
Customer service & success201%131%even
Human resources201%––outside top 12
Finance & accounting191%655%Oracle Business Intelligence Enterprise Edition
Engineering (non-software)181%––outside top 12
Business development & strategy171%––outside top 12
Design & UX111%––outside top 12
Healthcare clinical––192%outside top 12
Retail & store operations––151%outside top 12
Administration & office––111%outside top 12
General management & consulting––101%outside top 12
Skilled trades and field service––101%outside top 12
Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

Oracle Business Intelligence Enterprise Edition is named by 235 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-obiee)
How we know

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.
FAQ

Databricks AI/BI Genie vs Oracle Business Intelligence Enterprise Edition: questions

Which is more used, Databricks AI/BI Genie or Oracle Business Intelligence Enterprise Edition?

By companies naming it in their own job postings, Oracle Business Intelligence Enterprise Edition (235) over Databricks AI/BI Genie (183). By website-and-DNS footprint, Oracle Business Intelligence Enterprise Edition (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 35% for Oracle Business Intelligence Enterprise Edition. 53% of Databricks AI/BI Genie companies have over 1,000 employees, against 47% for Oracle Business Intelligence Enterprise Edition.

Do companies run both?

0 companies name both in their postings, usually Databricks AI/BI Genie in marketing and Oracle Business Intelligence Enterprise Edition 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.

Companies and people

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