DataRobotThe platform enterprises trust to build, operate, and govern their agents.
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
DataRobot vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
DataRobot is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 0.3 for Langfuse.
Choose DataRobot if…
- You want the brand AI engines rank higher (5.6 vs 0.3)
- You need HIPAA coverage
- Automated machine learning (AutoML) capabilities
- Robust enterprise monitoring and governance features
Choose Langfuse if…
- AI answers describe it more positively (50% vs 27% positive)
- You need HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
AI visibility side by side
Latest weekly run · Nov 2
| Metric | DataRobot | Langfuse |
|---|---|---|
| Visibility score | 5.6% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #16 | #51 |
| Share of voice | 2.1% | 0.2% |
| Mentions this run | 14 | 1 |
| Positive in AI answers | 27% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
DataRobot 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
DataRobot leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DataRobotLangfuse
Head to head in AI answers
0 engine answers name both brands
0DataRobot ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | DataRobot | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Cloud, hybrid, on-premises, and air-gapped environments | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | ISO 27001, SOC 2 Type II, HIPAA | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Online documentation, Support center | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans |
| Founded | 2012 | — |
| Headquarters | Boston, Massachusetts, USA | — |
| Employees | 501–1,000 | — |
| Funding | Corporate minority round (SBI Holdings) | Seed · $4M raised |
| Best for | Large enterprises in regulated industries that need to take agentic AI from pilot into production. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
DataRobot
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
DataRobot
- Automated machine learning (AutoML) capabilities
- Robust enterprise monitoring and governance features
- Good fit for governed AutoML in regulated industries
- Analyst-friendly workflows for business users
- Free trial available
- Steep platform fees that scale aggressively
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “DataRobot vs Langfuse”, https://slateindex.ai/compare/datarobot-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.