Microsoft Dataverse VS Oracle APEX
As of 30 October 2026, Oracle APEX is named by 163 companies and Microsoft Dataverse by 679; Microsoft Dataverse skews to companies under 200 people (31% vs 40%), Oracle APEX to companies over 1,000 (41% vs 46%).
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: Microsoft Dataverse's script and mail records show on hundreds of thousands of small sites, Oracle APEX rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Microsoft Dataverse: 2–200 employees
- 31%
- Oracle APEX: 2–200 employees
- 40%
- Microsoft Dataverse: 1,000+ employees
- 46%
- Oracle APEX: 1,000+ employees
- 41%
- Postings per company, 90 days
- 3.5 · 3.1
- 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 | Microsoft Dataverse | share | Oracle APEX | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 0% | 2 | 1% | even |
| 2-10 employees | 22 | 3% | 12 | 7% | Oracle APEX |
| 11-50 employees | 69 | 10% | 16 | 10% | even |
| 51-200 employees | 121 | 18% | 38 | 23% | Oracle APEX |
| 201-500 employees | 83 | 12% | 15 | 9% | Microsoft Dataverse |
| 501-1000 employees | 73 | 11% | 13 | 8% | Microsoft Dataverse |
| 1001-5000 employees | 136 | 20% | 23 | 14% | Microsoft Dataverse |
| 5001-10000 employees | 47 | 7% | 15 | 9% | Oracle APEX |
| 10,001+ employees | 126 | 19% | 29 | 18% | even |
| Segment | Microsoft Dataverse | share | Oracle APEX | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 221 | 33% | 67 | 41% | Oracle APEX |
| Business & finance services | 146 | 22% | 29 | 18% | Microsoft Dataverse |
| Manufacturing & industry | 110 | 16% | 28 | 17% | even |
| Property & construction | 38 | 6% | 2 | 1% | Microsoft Dataverse |
| Utilities & infrastructure | 38 | 6% | 4 | 2% | Microsoft Dataverse |
| Public, community & associations | 29 | 4% | 7 | 4% | even |
| Commerce & trade | 25 | 4% | 3 | 2% | even |
| Consumer services & leisure | 20 | 3% | 3 | 2% | even |
| Transport, logistics & rental | 19 | 3% | 2 | 1% | even |
| Automotive | 11 | 2% | – | – | outside top 12 |
| Health care | 9 | 1% | 6 | 4% | Oracle APEX |
| Media & content | 9 | 1% | 8 | 5% | Oracle APEX |
| Hospitality & travel | – | – | 2 | 1% | outside top 12 |
| Segment | Microsoft Dataverse | share | Oracle APEX | share | Leans |
|---|---|---|---|---|---|
| United States | 340 | 50% | 103 | 63% | Oracle APEX |
| United Kingdom | 53 | 8% | 16 | 10% | Oracle APEX |
| Germany | 48 | 7% | 10 | 6% | even |
| Canada | 37 | 5% | 5 | 3% | Microsoft Dataverse |
| Australia | 25 | 4% | – | – | outside top 12 |
| Netherlands | 20 | 3% | 5 | 3% | even |
| France | 19 | 3% | – | – | outside top 12 |
| India | 19 | 3% | 3 | 2% | even |
| Switzerland | 12 | 2% | – | – | outside top 12 |
| Spain | 10 | 1% | – | – | outside top 12 |
| Denmark | 9 | 1% | – | – | outside top 12 |
| Austria | 8 | 1% | 3 | 2% | even |
| Poland | – | – | 3 | 2% | outside top 12 |
| Portugal | – | – | 2 | 1% | outside top 12 |
| BD | – | – | 1 | 1% | outside top 12 |
| Belgium | – | – | 1 | 1% | outside top 12 |
| Brazil | – | – | 1 | 1% | outside top 12 |
| Segment | Microsoft Dataverse | share | Oracle APEX | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,037 | 37% | 306 | 41% | Oracle APEX |
| IT operations & business systems | 828 | 30% | 190 | 25% | Microsoft Dataverse |
| Data & AI | 304 | 11% | 40 | 5% | Microsoft Dataverse |
| Product, program & project management | 49 | 2% | 14 | 2% | even |
| Sales | 30 | 1% | 2 | 0% | even |
| Engineering (non-software) | 19 | 1% | 2 | 0% | even |
| General management & consulting | 18 | 1% | 3 | 0% | even |
| Quality, safety & environment | 18 | 1% | – | – | outside top 12 |
| Finance & accounting | 8 | 0% | 1 | 0% | even |
| Human resources | 5 | 0% | – | – | outside top 12 |
| Customer service & success | 4 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 3 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 2 | 0% | outside top 12 |
| Unclassified | – | – | 2 | 0% | outside top 12 |
| Arts media and entertainment | – | – | 1 | 0% | outside top 12 |
| Education & training | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Microsoft Dataverse →
Companies using Oracle APEX →
low code bpm rpa ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Oracle APEX is named by 163 companies in job postings and Microsoft Dataverse by 679; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/microsoft-dataverse-vs-oracle-apex)
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.
Microsoft Dataverse vs Oracle APEX: questions
Which is more used, Microsoft Dataverse or Oracle APEX?
By companies naming it in their own job postings, Microsoft Dataverse (679) over Oracle APEX (163). By website-and-DNS footprint, Oracle APEX (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Microsoft Dataverse?
31% of Microsoft Dataverse companies have 2 to 200 employees, against 40% for Oracle APEX. 46% of Microsoft Dataverse companies have over 1,000 employees, against 41% for Oracle APEX.
Do companies run both?
0 companies name both in their postings, usually Microsoft Dataverse in marketing and Oracle APEX 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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