LookML VS Oracle Analytics Cloud
As of 30 October 2026, Oracle Analytics Cloud is named by 120 companies and LookML by 156; LookML skews to companies under 200 people (42% vs 37%), Oracle Analytics Cloud to companies over 1,000 (33% vs 32%).
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: LookML's script and mail records show on hundreds of thousands of small sites, Oracle Analytics Cloud rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- LookML: 2–200 employees
- 42%
- Oracle Analytics Cloud: 2–200 employees
- 37%
- LookML: 1,000+ employees
- 32%
- Oracle Analytics Cloud: 1,000+ employees
- 33%
- Postings per company, 90 days
- 1.9 · 2.4
- 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 | LookML | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | 1 | 1% | even |
| 2-10 employees | 6 | 4% | 6 | 5% | even |
| 11-50 employees | 19 | 12% | 13 | 11% | even |
| 51-200 employees | 40 | 26% | 25 | 21% | LookML |
| 201-500 employees | 24 | 15% | 18 | 15% | even |
| 501-1000 employees | 16 | 10% | 18 | 15% | Oracle Analytics Cloud |
| 1001-5000 employees | 32 | 21% | 19 | 16% | LookML |
| 5001-10000 employees | 6 | 4% | 6 | 5% | even |
| 10,001+ employees | 12 | 8% | 14 | 12% | Oracle Analytics Cloud |
| Segment | LookML | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 85 | 54% | 23 | 19% | LookML |
| Business & finance services | 26 | 17% | 24 | 20% | Oracle Analytics Cloud |
| Commerce & trade | 10 | 6% | 1 | 1% | LookML |
| Manufacturing & industry | 9 | 6% | 17 | 14% | Oracle Analytics Cloud |
| Media & content | 6 | 4% | – | – | outside top 12 |
| Consumer services & leisure | 4 | 3% | 3 | 3% | even |
| Health care | 4 | 3% | 4 | 3% | even |
| Transport, logistics & rental | 4 | 3% | – | – | outside top 12 |
| Automotive | 2 | 1% | 4 | 3% | Oracle Analytics Cloud |
| Public, community & associations | 2 | 1% | 4 | 3% | Oracle Analytics Cloud |
| Property & construction | 2 | 1% | 38 | 32% | Oracle Analytics Cloud |
| Agriculture & forestry | 1 | 1% | – | – | outside top 12 |
| Utilities & infrastructure | – | – | 2 | 2% | outside top 12 |
| Segment | LookML | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| United States | 97 | 62% | 89 | 74% | Oracle Analytics Cloud |
| United Kingdom | 14 | 9% | 6 | 5% | LookML |
| France | 5 | 3% | 3 | 3% | even |
| India | 5 | 3% | – | – | outside top 12 |
| Germany | 4 | 3% | 2 | 2% | even |
| Japan | 3 | 2% | – | – | outside top 12 |
| Poland | 3 | 2% | 2 | 2% | even |
| Australia | 2 | 1% | – | – | outside top 12 |
| Brazil | 2 | 1% | 2 | 2% | even |
| Canada | 2 | 1% | 5 | 4% | Oracle Analytics Cloud |
| Switzerland | 2 | 1% | 1 | 1% | even |
| Denmark | 2 | 1% | – | – | outside top 12 |
| United Arab Emirates | – | – | 2 | 2% | outside top 12 |
| Greece | – | – | 2 | 2% | outside top 12 |
| Netherlands | – | – | 2 | 2% | outside top 12 |
| Lithuania | – | – | 1 | 1% | outside top 12 |
| Segment | LookML | share | Oracle Analytics Cloud | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 263 | 74% | 60 | 15% | LookML |
| Software engineering | 24 | 7% | 20 | 5% | even |
| IT operations & business systems | 11 | 3% | 73 | 19% | Oracle Analytics Cloud |
| Sales | 9 | 3% | – | – | outside top 12 |
| Product, program & project management | 7 | 2% | 52 | 13% | Oracle Analytics Cloud |
| Human resources | 2 | 1% | – | – | outside top 12 |
| Finance & accounting | 1 | 0% | 15 | 4% | Oracle Analytics Cloud |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 2 | 1% | even |
| Retail & store operations | 1 | 0% | – | – | outside top 12 |
| Unclassified | 1 | 0% | – | – | outside top 12 |
| Construction and civil | – | – | 61 | 16% | outside top 12 |
| Engineering (non-software) | – | – | 21 | 5% | outside top 12 |
| General management & consulting | – | – | 7 | 2% | outside top 12 |
| Administration & office | – | – | 2 | 1% | outside top 12 |
| Business development & strategy | – | – | 2 | 1% | outside top 12 |
| Design & UX | – | – | 2 | 1% | outside top 12 |
The companies behind each column
Companies using LookML →
Companies using Oracle Analytics Cloud →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Oracle Analytics Cloud is named by 120 companies in job postings and LookML by 156; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/lookml-vs-oracle-analytics-cloud)
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.
LookML vs Oracle Analytics Cloud: questions
Which is more used, LookML or Oracle Analytics Cloud?
By companies naming it in their own job postings, LookML (156) over Oracle Analytics Cloud (120). By website-and-DNS footprint, Oracle Analytics Cloud (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses LookML?
42% of LookML companies have 2 to 200 employees, against 37% for Oracle Analytics Cloud. 32% of LookML companies have over 1,000 employees, against 33% for Oracle Analytics Cloud.
Do companies run both?
0 companies name both in their postings, usually LookML in marketing and Oracle Analytics Cloud 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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