Oracle Analytics Cloud VS Qlik
As of 30 October 2026, Qlik is named by 713 companies and Oracle Analytics Cloud by 120; Oracle Analytics Cloud skews to companies under 200 people (37% vs 30%), Qlik to companies over 1,000 (46% vs 33%).
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: Oracle Analytics Cloud's script and mail records show on hundreds of thousands of small sites, Qlik rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Oracle Analytics Cloud: 2–200 employees
- 37%
- Qlik: 2–200 employees
- 30%
- Oracle Analytics Cloud: 1,000+ employees
- 33%
- Qlik: 1,000+ employees
- 46%
- Postings per company, 90 days
- 2.4 · 2.7
- 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 | Oracle Analytics Cloud | share | Qlik | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | – | – | outside top 12 |
| 2-10 employees | 6 | 5% | 20 | 3% | Oracle Analytics Cloud |
| 11-50 employees | 13 | 11% | 78 | 11% | even |
| 51-200 employees | 25 | 21% | 116 | 16% | Oracle Analytics Cloud |
| 201-500 employees | 18 | 15% | 86 | 12% | Oracle Analytics Cloud |
| 501-1000 employees | 18 | 15% | 83 | 12% | Oracle Analytics Cloud |
| 1001-5000 employees | 19 | 16% | 145 | 20% | Qlik |
| 5001-10000 employees | 6 | 5% | 55 | 8% | Qlik |
| 10,001+ employees | 14 | 12% | 130 | 18% | Qlik |
| Segment | Oracle Analytics Cloud | share | Qlik | share | Leans |
|---|---|---|---|---|---|
| Property & construction | 38 | 32% | 14 | 2% | Oracle Analytics Cloud |
| Business & finance services | 24 | 20% | 167 | 23% | Qlik |
| Technology & software | 23 | 19% | 217 | 30% | Qlik |
| Manufacturing & industry | 17 | 14% | 123 | 17% | Qlik |
| Automotive | 4 | 3% | 22 | 3% | even |
| Public, community & associations | 4 | 3% | 17 | 2% | even |
| Health care | 4 | 3% | 37 | 5% | even |
| Consumer services & leisure | 3 | 3% | 9 | 1% | even |
| Utilities & infrastructure | 2 | 2% | 25 | 4% | even |
| Commerce & trade | 1 | 1% | 40 | 6% | Qlik |
| Transport, logistics & rental | – | – | 20 | 3% | outside top 12 |
| Media & content | – | – | 18 | 3% | outside top 12 |
| Segment | Oracle Analytics Cloud | share | Qlik | share | Leans |
|---|---|---|---|---|---|
| United States | 89 | 74% | 368 | 52% | Oracle Analytics Cloud |
| United Kingdom | 6 | 5% | 54 | 8% | Qlik |
| Canada | 5 | 4% | 14 | 2% | Oracle Analytics Cloud |
| France | 3 | 3% | 39 | 5% | Qlik |
| United Arab Emirates | 2 | 2% | – | – | outside top 12 |
| Brazil | 2 | 2% | – | – | outside top 12 |
| Germany | 2 | 2% | 64 | 9% | Qlik |
| Greece | 2 | 2% | – | – | outside top 12 |
| Netherlands | 2 | 2% | 18 | 3% | even |
| Poland | 2 | 2% | – | – | outside top 12 |
| Switzerland | 1 | 1% | 10 | 1% | even |
| Lithuania | 1 | 1% | – | – | outside top 12 |
| Italy | – | – | 27 | 4% | outside top 12 |
| Sweden | – | – | 20 | 3% | outside top 12 |
| Belgium | – | – | 11 | 2% | outside top 12 |
| Australia | – | – | 9 | 1% | outside top 12 |
| Spain | – | – | 9 | 1% | outside top 12 |
| Segment | Oracle Analytics Cloud | share | Qlik | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 73 | 19% | 158 | 6% | Oracle Analytics Cloud |
| Construction and civil | 61 | 16% | – | – | outside top 12 |
| Data & AI | 60 | 15% | 1,125 | 45% | Qlik |
| Product, program & project management | 52 | 13% | 81 | 3% | Oracle Analytics Cloud |
| Engineering (non-software) | 21 | 5% | – | – | outside top 12 |
| Software engineering | 20 | 5% | 71 | 3% | Oracle Analytics Cloud |
| Finance & accounting | 15 | 4% | 199 | 8% | Qlik |
| General management & consulting | 7 | 2% | 61 | 2% | even |
| Administration & office | 2 | 1% | – | – | outside top 12 |
| Business development & strategy | 2 | 1% | – | – | outside top 12 |
| Design & UX | 2 | 1% | – | – | outside top 12 |
| Marketing & communications | 2 | 1% | 37 | 1% | even |
| Sales | – | – | 77 | 3% | outside top 12 |
| Logistics warehouse and transport | – | – | 45 | 2% | outside top 12 |
| Legal, compliance & risk | – | – | 27 | 1% | outside top 12 |
| Quality, safety & environment | – | – | 21 | 1% | outside top 12 |
| Customer service & success | – | – | 19 | 1% | outside top 12 |
The companies behind each column
Companies using Oracle Analytics Cloud →
Companies using Qlik →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Qlik is named by 713 companies in job postings and Oracle Analytics Cloud by 120; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/oracle-analytics-cloud-vs-qlik)
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.
Oracle Analytics Cloud vs Qlik: questions
Which is more used, Oracle Analytics Cloud or Qlik?
By companies naming it in their own job postings, Qlik (713) over Oracle Analytics Cloud (120). By website-and-DNS footprint, Qlik (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Oracle Analytics Cloud?
37% of Oracle Analytics Cloud companies have 2 to 200 employees, against 30% for Qlik. 33% of Oracle Analytics Cloud companies have over 1,000 employees, against 46% for Qlik.
Do companies run both?
0 companies name both in their postings, usually Oracle Analytics Cloud in marketing and Qlik 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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