Amazon SageMaker VS LangSmith
As of 4 November 2026, LangSmith is named by 580 companies and Amazon SageMaker by 1,384; Amazon SageMaker skews to companies under 200 people (38% vs 39%), LangSmith to companies over 1,000 (36% 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, LangSmith 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%
- LangSmith: 2–200 employees
- 39%
- Amazon SageMaker: 1,000+ employees
- 36%
- LangSmith: 1,000+ employees
- 36%
- Postings per company, 90 days
- 2.6 · 2.8
- 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 | LangSmith | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 36 | 3% | 28 | 5% | LangSmith |
| 2-10 employees | 99 | 7% | 46 | 8% | even |
| 11-50 employees | 159 | 11% | 89 | 15% | LangSmith |
| 51-200 employees | 272 | 20% | 89 | 15% | Amazon SageMaker |
| 201-500 employees | 184 | 13% | 71 | 12% | even |
| 501-1000 employees | 138 | 10% | 46 | 8% | Amazon SageMaker |
| 1001-5000 employees | 226 | 16% | 117 | 20% | LangSmith |
| 5001-10000 employees | 67 | 5% | 28 | 5% | even |
| 10,001+ employees | 203 | 15% | 66 | 11% | Amazon SageMaker |
| Segment | Amazon SageMaker | share | LangSmith | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 695 | 50% | 343 | 59% | LangSmith |
| Business & finance services | 338 | 24% | 120 | 21% | Amazon SageMaker |
| Manufacturing & industry | 107 | 8% | 30 | 5% | Amazon SageMaker |
| Media & content | 53 | 4% | 18 | 3% | even |
| Utilities & infrastructure | 39 | 3% | 8 | 1% | even |
| Commerce & trade | 34 | 2% | 8 | 1% | even |
| Consumer services & leisure | 31 | 2% | 15 | 3% | even |
| Public, community & associations | 27 | 2% | 7 | 1% | even |
| Health care | 14 | 1% | 9 | 2% | even |
| Automotive | 13 | 1% | – | – | outside top 12 |
| Hospitality & travel | 11 | 1% | 5 | 1% | even |
| Property & construction | 9 | 1% | 5 | 1% | even |
| Transport, logistics & rental | – | – | 8 | 1% | outside top 12 |
| Segment | Amazon SageMaker | share | LangSmith | share | Leans |
|---|---|---|---|---|---|
| United States | 880 | 64% | 387 | 67% | LangSmith |
| United Kingdom | 98 | 7% | 43 | 7% | even |
| Germany | 45 | 3% | 20 | 3% | even |
| India | 41 | 3% | 12 | 2% | even |
| Canada | 38 | 3% | 15 | 3% | even |
| France | 28 | 2% | 15 | 3% | even |
| Australia | 20 | 1% | 6 | 1% | even |
| Spain | 16 | 1% | 9 | 2% | even |
| Japan | 14 | 1% | – | – | outside top 12 |
| Poland | 13 | 1% | 6 | 1% | even |
| Netherlands | 12 | 1% | – | – | outside top 12 |
| Sweden | 12 | 1% | 7 | 1% | even |
| Brazil | – | – | 6 | 1% | outside top 12 |
| Switzerland | – | – | 6 | 1% | outside top 12 |
| Segment | Amazon SageMaker | share | LangSmith | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,900 | 60% | 887 | 46% | Amazon SageMaker |
| Software engineering | 725 | 15% | 627 | 33% | LangSmith |
| IT operations & business systems | 297 | 6% | 84 | 4% | even |
| Product, program & project management | 119 | 2% | 35 | 2% | even |
| Sales | 78 | 2% | 55 | 3% | even |
| Customer service & success | 36 | 1% | 5 | 0% | even |
| Engineering (non-software) | 32 | 1% | 5 | 0% | even |
| General management & consulting | 29 | 1% | 6 | 0% | even |
| Legal, compliance & risk | 26 | 1% | 3 | 0% | even |
| Unclassified | 13 | 0% | 2 | 0% | even |
| Marketing & communications | 12 | 0% | 3 | 0% | even |
| Business development & strategy | 9 | 0% | 7 | 0% | even |
| Finance & accounting | 9 | 0% | – | – | outside top 12 |
| Research and science | 8 | 0% | 1 | 0% | even |
| Education & training | 6 | 0% | 2 | 0% | even |
| Construction and civil | 5 | 0% | 2 | 0% | even |
| Quality, safety & environment | 3 | 0% | 13 | 1% | even |
| Arts media and entertainment | 2 | 0% | – | – | outside top 12 |
| Human resources | 2 | 0% | 4 | 0% | even |
| 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% | – | – | outside top 12 |
The companies behind each column
Companies using Amazon SageMaker →
Companies using LangSmith →
mlops platforms ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
LangSmith is named by 580 companies in job postings and Amazon SageMaker by 1,384; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/amazon-sagemaker-vs-langsmith)
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 LangSmith: questions
Which is more used, Amazon SageMaker or LangSmith?
By companies naming it in their own job postings, Amazon SageMaker (1,384) over LangSmith (580). By website-and-DNS footprint, LangSmith (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 39% for LangSmith. 36% of Amazon SageMaker companies have over 1,000 employees, against 36% for LangSmith.
Do companies run both?
0 companies name both in their postings, usually Amazon SageMaker in marketing and LangSmith 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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