Databricks AI/BI Genie VS LookML
As of 30 October 2026, LookML is named by 156 companies and Databricks AI/BI Genie by 183; Databricks AI/BI Genie skews to companies under 200 people (23% vs 42%), LookML to companies over 1,000 (32% 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, LookML 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%
- LookML: 2–200 employees
- 42%
- Databricks AI/BI Genie: 1,000+ employees
- 53%
- LookML: 1,000+ employees
- 32%
- Postings per company, 90 days
- 7.3 · 1.9
- 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 | LookML | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 1% | 1 | 1% | even |
| 2-10 employees | 6 | 3% | 6 | 4% | even |
| 11-50 employees | 9 | 5% | 19 | 12% | LookML |
| 51-200 employees | 27 | 15% | 40 | 26% | LookML |
| 201-500 employees | 24 | 13% | 24 | 15% | LookML |
| 501-1000 employees | 18 | 10% | 16 | 10% | even |
| 1001-5000 employees | 39 | 21% | 32 | 21% | even |
| 5001-10000 employees | 13 | 7% | 6 | 4% | Databricks AI/BI Genie |
| 10,001+ employees | 45 | 25% | 12 | 8% | Databricks AI/BI Genie |
| Segment | Databricks AI/BI Genie | share | LookML | share | Leans |
|---|---|---|---|---|---|
| Business & finance services | 52 | 28% | 26 | 17% | Databricks AI/BI Genie |
| Technology & software | 45 | 25% | 85 | 54% | LookML |
| Manufacturing & industry | 23 | 13% | 9 | 6% | Databricks AI/BI Genie |
| Property & construction | 11 | 6% | 2 | 1% | Databricks AI/BI Genie |
| Automotive | 8 | 4% | 2 | 1% | Databricks AI/BI Genie |
| Commerce & trade | 8 | 4% | 10 | 6% | LookML |
| Health care | 7 | 4% | 4 | 3% | even |
| Media & content | 7 | 4% | 6 | 4% | even |
| Utilities & infrastructure | 6 | 3% | – | – | outside top 12 |
| Public, community & associations | 5 | 3% | 2 | 1% | even |
| Hospitality & travel | 4 | 2% | – | – | outside top 12 |
| Transport, logistics & rental | 4 | 2% | 4 | 3% | even |
| Consumer services & leisure | – | – | 4 | 3% | outside top 12 |
| Agriculture & forestry | – | – | 1 | 1% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | LookML | share | Leans |
|---|---|---|---|---|---|
| United States | 119 | 65% | 97 | 62% | Databricks AI/BI Genie |
| United Kingdom | 12 | 7% | 14 | 9% | LookML |
| Canada | 7 | 4% | 2 | 1% | Databricks AI/BI Genie |
| Germany | 7 | 4% | 4 | 3% | even |
| Australia | 6 | 3% | 2 | 1% | even |
| France | 5 | 3% | 5 | 3% | even |
| Brazil | 3 | 2% | 2 | 1% | even |
| Netherlands | 3 | 2% | – | – | outside top 12 |
| Austria | 2 | 1% | – | – | outside top 12 |
| Switzerland | 2 | 1% | 2 | 1% | even |
| Denmark | 2 | 1% | 2 | 1% | even |
| Finland | 2 | 1% | – | – | outside top 12 |
| India | – | – | 5 | 3% | outside top 12 |
| Japan | – | – | 3 | 2% | outside top 12 |
| Poland | – | – | 3 | 2% | outside top 12 |
| Segment | Databricks AI/BI Genie | share | LookML | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 400 | 21% | 24 | 7% | Databricks AI/BI Genie |
| Data & AI | 391 | 20% | 263 | 74% | LookML |
| Sales | 369 | 19% | 9 | 3% | Databricks AI/BI Genie |
| IT operations & business systems | 216 | 11% | 11 | 3% | Databricks AI/BI Genie |
| Product, program & project management | 101 | 5% | 7 | 2% | Databricks AI/BI Genie |
| Marketing & communications | 37 | 2% | 1 | 0% | even |
| Customer service & success | 20 | 1% | – | – | outside top 12 |
| Human resources | 20 | 1% | 2 | 1% | even |
| Finance & accounting | 19 | 1% | 1 | 0% | even |
| Engineering (non-software) | 18 | 1% | – | – | outside top 12 |
| Business development & strategy | 17 | 1% | – | – | outside top 12 |
| Design & UX | 11 | 1% | – | – | outside top 12 |
| Legal, compliance & risk | – | – | 1 | 0% | outside top 12 |
| Retail & store operations | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Databricks AI/BI Genie →
Companies using LookML →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
LookML is named by 156 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-lookml)
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 LookML: questions
Which is more used, Databricks AI/BI Genie or LookML?
By companies naming it in their own job postings, Databricks AI/BI Genie (183) over LookML (156). By website-and-DNS footprint, LookML (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 42% for LookML. 53% of Databricks AI/BI Genie companies have over 1,000 employees, against 32% for LookML.
Do companies run both?
0 companies name both in their postings, usually Databricks AI/BI Genie in marketing and LookML 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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