DataikuThe Platform for AI Success
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Dataiku vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 0.3 for Langfuse.
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 0.3)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose Langfuse if…
- AI answers describe it more positively (50% vs 48% positive)
- You need a self-hosted or on-premises option
- You need ISO 27001 or HIPAA-ready region coverage
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | Langfuse |
|---|---|---|
| Visibility score | 8.5% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #51 |
| Share of voice | 2.9% | 0.2% |
| Mentions this run | 20 | 1 |
| Positive in AI answers | 48% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuLangfuse
Head to head in AI answers
0 engine answers name both brands
0Dataiku ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Dataiku | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Runs on the clouds, data platforms and models a customer already has | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | — | 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 | New York City, NY | — |
| Employees | 1,001–5,000 | — |
| Funding | Series E · $600M raised | Seed · $4M raised |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Dataiku
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
- Broad enterprise MLOps platform
- Best for enterprise collaboration and governance
- 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, “Dataiku vs Langfuse”, https://slateindex.ai/compare/dataiku-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.