Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Domino Data Lab vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Domino Data Lab is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 0.3 for Langfuse.
Choose Domino Data Lab if…
- You want the brand AI engines rank higher (5.6 vs 0.3)
- You need ISO 9001 or SOC 2 or HIPAA coverage
- Flat tiers pricing suits your budget better than usage-based
- Reproducible development environments
Choose Langfuse if…
- You want a free plan to start
- AI answers describe it more positively (50% vs 35% positive)
- You need SOC 2 Type II or HIPAA-ready region coverage
- Usage-based pricing suits your budget better than flat tiers
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Domino Data Lab | Langfuse |
|---|---|---|
| Visibility score | 5.6% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #15 | #51 |
| Share of voice | 2.5% | 0.2% |
| Mentions this run | 17 | 1 |
| Positive in AI answers | 35% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Domino Data Lab 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Domino Data Lab leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Domino Data LabLangfuse
Head to head in AI answers
0 engine answers name both brands
0Domino Data Lab ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Domino Data Lab | Langfuse |
|---|---|---|
| Pricing model | Flat tiers | Usage-based |
| Entry price | Contact sales | Free; paid from $29 / mo |
| Free plan | No | Yes |
| Deployment | Single-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Premium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customers | 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 | 2013 | — |
| Headquarters | San Francisco, CA | — |
| Employees | 201–500 | — |
| Funding | Strategic equity investment from UBS · $228M raised | Seed · $4M raised |
| Best for | Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Domino Data Lab
Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Pros and cons
Themes from the AI answers that mention each brand
Domino Data Lab
- Reproducible development environments
- Centralized governance and lifecycle policy enforcement
- Suited to collaborative, governed enterprise data science at scale
- Analyst recognition, such as a Gartner Visionary placement
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, “Domino Data Lab vs Langfuse”, https://slateindex.ai/compare/domino-data-lab-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.