Databricks AI/BI Genie VS Mode Analytics
As of 30 October 2026, Mode Analytics is named by 130 companies and Databricks AI/BI Genie by 183; Databricks AI/BI Genie skews to companies under 200 people (23% vs 50%), Mode Analytics to companies over 1,000 (26% 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, Mode Analytics 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%
- Mode Analytics: 2–200 employees
- 50%
- Databricks AI/BI Genie: 1,000+ employees
- 53%
- Mode Analytics: 1,000+ employees
- 26%
- Postings per company, 90 days
- 7.3 · 2.2
- 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 | Mode Analytics | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 1% | 1 | 1% | even |
| 2-10 employees | 6 | 3% | 12 | 9% | Mode Analytics |
| 11-50 employees | 9 | 5% | 22 | 17% | Mode Analytics |
| 51-200 employees | 27 | 15% | 31 | 24% | Mode Analytics |
| 201-500 employees | 24 | 13% | 18 | 14% | even |
| 501-1000 employees | 18 | 10% | 12 | 9% | even |
| 1001-5000 employees | 39 | 21% | 27 | 21% | even |
| 5001-10000 employees | 13 | 7% | 4 | 3% | Databricks AI/BI Genie |
| 10,001+ employees | 45 | 25% | 3 | 2% | Databricks AI/BI Genie |
| Segment | Databricks AI/BI Genie | share | Mode Analytics | share | Leans |
|---|---|---|---|---|---|
| Business & finance services | 52 | 28% | 28 | 22% | Databricks AI/BI Genie |
| Technology & software | 45 | 25% | 60 | 46% | Mode Analytics |
| Manufacturing & industry | 23 | 13% | 14 | 11% | even |
| Property & construction | 11 | 6% | 1 | 1% | Databricks AI/BI Genie |
| Automotive | 8 | 4% | – | – | outside top 12 |
| Commerce & trade | 8 | 4% | 3 | 2% | Databricks AI/BI Genie |
| Health care | 7 | 4% | 7 | 5% | even |
| Media & content | 7 | 4% | 10 | 8% | Mode Analytics |
| Utilities & infrastructure | 6 | 3% | – | – | outside top 12 |
| Public, community & associations | 5 | 3% | 2 | 2% | even |
| Hospitality & travel | 4 | 2% | 1 | 1% | even |
| Transport, logistics & rental | 4 | 2% | 1 | 1% | even |
| Consumer services & leisure | – | – | 3 | 2% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | Mode Analytics | share | Leans |
|---|---|---|---|---|---|
| United States | 119 | 65% | 106 | 82% | Mode Analytics |
| United Kingdom | 12 | 7% | 7 | 5% | even |
| Canada | 7 | 4% | 1 | 1% | Databricks AI/BI Genie |
| Germany | 7 | 4% | 3 | 2% | even |
| Australia | 6 | 3% | 3 | 2% | even |
| France | 5 | 3% | – | – | outside top 12 |
| Brazil | 3 | 2% | – | – | outside top 12 |
| Netherlands | 3 | 2% | – | – | outside top 12 |
| Austria | 2 | 1% | 1 | 1% | even |
| Switzerland | 2 | 1% | – | – | outside top 12 |
| Denmark | 2 | 1% | – | – | outside top 12 |
| Finland | 2 | 1% | – | – | outside top 12 |
| India | – | – | 3 | 2% | outside top 12 |
| Sweden | – | – | 2 | 2% | outside top 12 |
| Estonia | – | – | 1 | 1% | outside top 12 |
| ID | – | – | 1 | 1% | outside top 12 |
| Ireland | – | – | 1 | 1% | outside top 12 |
| Poland | – | – | 1 | 1% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | Mode Analytics | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 400 | 21% | 57 | 15% | Databricks AI/BI Genie |
| Data & AI | 391 | 20% | 105 | 28% | Mode Analytics |
| Sales | 369 | 19% | 19 | 5% | Databricks AI/BI Genie |
| IT operations & business systems | 216 | 11% | 22 | 6% | Databricks AI/BI Genie |
| Product, program & project management | 101 | 5% | 24 | 6% | even |
| Marketing & communications | 37 | 2% | 18 | 5% | Mode Analytics |
| Customer service & success | 20 | 1% | 4 | 1% | even |
| Human resources | 20 | 1% | – | – | outside top 12 |
| Finance & accounting | 19 | 1% | 8 | 2% | even |
| Engineering (non-software) | 18 | 1% | 25 | 7% | Mode Analytics |
| Business development & strategy | 17 | 1% | – | – | outside top 12 |
| Design & UX | 11 | 1% | 16 | 4% | Mode Analytics |
| Quality, safety & environment | – | – | 6 | 2% | outside top 12 |
| Legal, compliance & risk | – | – | 4 | 1% | outside top 12 |
The companies behind each column
Companies using Databricks AI/BI Genie →
Companies using Mode Analytics →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Mode Analytics is named by 130 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-mode-analytics)
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 Mode Analytics: questions
Which is more used, Databricks AI/BI Genie or Mode Analytics?
By companies naming it in their own job postings, Databricks AI/BI Genie (183) over Mode Analytics (130). By website-and-DNS footprint, Mode Analytics (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 50% for Mode Analytics. 53% of Databricks AI/BI Genie companies have over 1,000 employees, against 26% for Mode Analytics.
Do companies run both?
0 companies name both in their postings, usually Databricks AI/BI Genie in marketing and Mode Analytics 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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