Amazon SageMaker VS Azure Machine Learning
As of 4 November 2026, Azure Machine Learning is named by 738 companies and Amazon SageMaker by 1,384; Amazon SageMaker skews to companies under 200 people (38% vs 33%), Azure Machine Learning to companies over 1,000 (44% vs 36%).
As of 4 November 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: Amazon SageMaker'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.
- Amazon SageMaker: 2–200 employees
- 38%
- Azure Machine Learning: 2–200 employees
- 33%
- Amazon SageMaker: 1,000+ employees
- 36%
- Azure Machine Learning: 1,000+ employees
- 44%
- Postings per company, 90 days
- 2.6 · 2.3
- 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 | Amazon SageMaker | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 36 | 3% | 16 | 2% | even |
| 2-10 employees | 99 | 7% | 48 | 7% | even |
| 11-50 employees | 159 | 11% | 84 | 11% | even |
| 51-200 employees | 272 | 20% | 111 | 15% | Amazon SageMaker |
| 201-500 employees | 184 | 13% | 82 | 11% | Amazon SageMaker |
| 501-1000 employees | 138 | 10% | 72 | 10% | even |
| 1001-5000 employees | 226 | 16% | 134 | 18% | even |
| 5001-10000 employees | 67 | 5% | 41 | 6% | even |
| 10,001+ employees | 203 | 15% | 150 | 20% | Azure Machine Learning |
| Segment | Amazon SageMaker | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 695 | 50% | 313 | 42% | Amazon SageMaker |
| Business & finance services | 338 | 24% | 192 | 26% | even |
| Manufacturing & industry | 107 | 8% | 93 | 13% | Azure Machine Learning |
| Media & content | 53 | 4% | 14 | 2% | even |
| Utilities & infrastructure | 39 | 3% | 29 | 4% | even |
| Commerce & trade | 34 | 2% | 18 | 2% | even |
| Consumer services & leisure | 31 | 2% | 17 | 2% | even |
| Public, community & associations | 27 | 2% | 12 | 2% | even |
| Health care | 14 | 1% | 11 | 1% | even |
| Automotive | 13 | 1% | 13 | 2% | even |
| Hospitality & travel | 11 | 1% | – | – | outside top 12 |
| Property & construction | 9 | 1% | 10 | 1% | even |
| Transport, logistics & rental | – | – | 10 | 1% | outside top 12 |
| Segment | Amazon SageMaker | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| United States | 880 | 64% | 399 | 54% | Amazon SageMaker |
| United Kingdom | 98 | 7% | 53 | 7% | even |
| Germany | 45 | 3% | 32 | 4% | even |
| India | 41 | 3% | 28 | 4% | even |
| Canada | 38 | 3% | 27 | 4% | even |
| France | 28 | 2% | 20 | 3% | even |
| Australia | 20 | 1% | 20 | 3% | even |
| Spain | 16 | 1% | – | – | outside top 12 |
| Japan | 14 | 1% | – | – | outside top 12 |
| Poland | 13 | 1% | 10 | 1% | even |
| Netherlands | 12 | 1% | 13 | 2% | even |
| Sweden | 12 | 1% | 11 | 1% | even |
| Portugal | – | – | 9 | 1% | outside top 12 |
| Switzerland | – | – | 8 | 1% | outside top 12 |
| Segment | Amazon SageMaker | share | Azure Machine Learning | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,900 | 60% | 1,559 | 68% | Azure Machine Learning |
| Software engineering | 725 | 15% | 254 | 11% | Amazon SageMaker |
| IT operations & business systems | 297 | 6% | 123 | 5% | even |
| Product, program & project management | 119 | 2% | 32 | 1% | even |
| Sales | 78 | 2% | 25 | 1% | even |
| Customer service & success | 36 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 32 | 1% | 5 | 0% | even |
| General management & consulting | 29 | 1% | 60 | 3% | Azure Machine Learning |
| Legal, compliance & risk | 26 | 1% | 3 | 0% | even |
| Unclassified | 13 | 0% | 9 | 0% | even |
| Marketing & communications | 12 | 0% | 4 | 0% | even |
| Business development & strategy | 9 | 0% | 5 | 0% | even |
| Finance & accounting | 9 | 0% | 6 | 0% | even |
| Research and science | 8 | 0% | 2 | 0% | even |
| Education & training | 6 | 0% | – | – | outside top 12 |
| Construction and civil | 5 | 0% | 1 | 0% | even |
| Quality, safety & environment | 3 | 0% | 2 | 0% | even |
| Arts media and entertainment | 2 | 0% | – | – | outside top 12 |
| Human resources | 2 | 0% | – | – | outside top 12 |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Design & UX | 1 | 0% | 1 | 0% | even |
| Healthcare clinical | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | 1 | 0% | 5 | 0% | even |
The companies behind each column
Companies using Amazon SageMaker →
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 738 companies in job postings and Amazon SageMaker by 1,384; 443 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/amazon-sagemaker-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.
Amazon SageMaker vs Azure Machine Learning: questions
Which is more used, Amazon SageMaker or Azure Machine Learning?
By companies naming it in their own job postings, Amazon SageMaker (1,384) over Azure Machine Learning (738). 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 Amazon SageMaker?
38% of Amazon SageMaker companies have 2 to 200 employees, against 33% for Azure Machine Learning. 36% of Amazon SageMaker companies have over 1,000 employees, against 44% for Azure Machine Learning.
Do companies run both?
443 companies name both in their postings, usually Amazon SageMaker 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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