Arize AI VS Azure Machine Learning
As of 30 October 2026, Azure Machine Learning is named by 572 companies and Arize AI by 101; Arize AI skews to companies under 200 people (29% vs 33%), Azure Machine Learning to companies over 1,000 (45% vs 48%).
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: Arize AI's script and mail records show on hundreds of thousands of small sites, Azure Machine Learning rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Arize AI: 2–200 employees
- 29%
- Azure Machine Learning: 2–200 employees
- 33%
- Arize AI: 1,000+ employees
- 48%
- Azure Machine Learning: 1,000+ employees
- 45%
- Postings per company, 90 days
- 2.4 · 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 | Arize AI | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | 4 | 1% | even |
| 2-10 employees | 8 | 8% | 32 | 6% | Arize AI |
| 11-50 employees | 9 | 9% | 72 | 13% | Azure Machine Learning |
| 51-200 employees | 12 | 12% | 85 | 15% | Azure Machine Learning |
| 201-500 employees | 15 | 15% | 67 | 12% | Arize AI |
| 501-1000 employees | 7 | 7% | 57 | 10% | Azure Machine Learning |
| 1001-5000 employees | 19 | 19% | 112 | 20% | even |
| 5001-10000 employees | 7 | 7% | 33 | 6% | even |
| 10,001+ employees | 22 | 22% | 110 | 19% | Arize AI |
| Segment | Arize AI | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 56 | 55% | 253 | 44% | Arize AI |
| Business & finance services | 21 | 21% | 143 | 25% | Azure Machine Learning |
| Manufacturing & industry | 7 | 7% | 72 | 13% | Azure Machine Learning |
| Health care | 6 | 6% | 11 | 2% | Arize AI |
| Commerce & trade | 3 | 3% | 17 | 3% | even |
| Public, community & associations | 2 | 2% | 12 | 2% | even |
| Property & construction | 2 | 2% | 6 | 1% | even |
| Consumer services & leisure | 1 | 1% | 8 | 1% | even |
| Hospitality & travel | 1 | 1% | – | – | outside top 12 |
| Media & content | 1 | 1% | 12 | 2% | even |
| Utilities & infrastructure | 1 | 1% | 18 | 3% | Azure Machine Learning |
| Automotive | – | – | 7 | 1% | outside top 12 |
| Transport, logistics & rental | – | – | 7 | 1% | outside top 12 |
| Segment | Arize AI | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| United States | 76 | 75% | 320 | 56% | Arize AI |
| United Kingdom | 6 | 6% | 45 | 8% | even |
| Germany | 4 | 4% | 30 | 5% | even |
| Austria | 2 | 2% | – | – | outside top 12 |
| Canada | 2 | 2% | 22 | 4% | even |
| Netherlands | 2 | 2% | 12 | 2% | even |
| Singapore | 2 | 2% | – | – | outside top 12 |
| Switzerland | 1 | 1% | 7 | 1% | even |
| CL | 1 | 1% | – | – | outside top 12 |
| Spain | 1 | 1% | – | – | outside top 12 |
| Ireland | 1 | 1% | – | – | outside top 12 |
| Italy | 1 | 1% | – | – | outside top 12 |
| India | – | – | 21 | 4% | outside top 12 |
| Australia | – | – | 17 | 3% | outside top 12 |
| France | – | – | 16 | 3% | outside top 12 |
| Poland | – | – | 7 | 1% | outside top 12 |
| Sweden | – | – | 7 | 1% | outside top 12 |
| Denmark | – | – | 6 | 1% | outside top 12 |
| Segment | Arize AI | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 125 | 41% | 1,261 | 67% | Azure Machine Learning |
| Software engineering | 68 | 22% | 219 | 12% | Arize AI |
| IT operations & business systems | 49 | 16% | 116 | 6% | Arize AI |
| Product, program & project management | 10 | 3% | 27 | 1% | even |
| Sales | 7 | 2% | 23 | 1% | even |
| Healthcare clinical | 4 | 1% | – | – | outside top 12 |
| General management & consulting | 3 | 1% | 32 | 2% | even |
| Marketing & communications | 2 | 1% | 3 | 0% | even |
| Design & UX | 1 | 0% | – | – | outside top 12 |
| Engineering (non-software) | 1 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 1 | 0% | 3 | 0% | even |
| Finance & accounting | – | – | 6 | 0% | outside top 12 |
| Logistics warehouse and transport | – | – | 5 | 0% | outside top 12 |
| Business development & strategy | – | – | 4 | 0% | outside top 12 |
| Research and science | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Arize AI →
Companies using Azure Machine Learning →
mlops platforms ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Azure Machine Learning is named by 572 companies in job postings and Arize AI by 101; 11 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/arize-vs-azure-machine-learning)
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.
Arize AI vs Azure Machine Learning: questions
Which is more used, Arize AI or Azure Machine Learning?
By companies naming it in their own job postings, Azure Machine Learning (572) over Arize AI (101). By website-and-DNS footprint, Azure Machine Learning (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Arize AI?
29% of Arize AI companies have 2 to 200 employees, against 33% for Azure Machine Learning. 48% of Arize AI companies have over 1,000 employees, against 45% for Azure Machine Learning.
Do companies run both?
11 companies name both in their postings, usually Arize AI in marketing and Azure Machine Learning 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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