KNIMEAnalytics made intuitive, AI made reliable
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
KNIME vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
KNIME is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.4 versus 0.3 for Langfuse.
Choose KNIME if…
- You want the brand AI engines rank higher (0.4 vs 0.3)
- You need more native integrations (300+ vs 100+)
Choose Langfuse if…
- AI answers describe it more positively (50% vs 0% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 2
| Metric | KNIME | Langfuse |
|---|---|---|
| Visibility score | 0.4% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #49 | #51 |
| Share of voice | 0.1% | 0.2% |
| Mentions this run | 1 | 1 |
| Positive in AI answers | 0% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
KNIME 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
KNIME leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
KNIMELangfuse
Head to head in AI answers
0 engine answers name both brands
0KNIME ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | KNIME | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Installed on the customer's own infrastructure, local, cloud or hybrid, with a SaaS option for small teams | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | 300+ | 100+ |
| Compliance | ISO 27001 | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Customer care team, reached through the contact form | 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 | 2008 | — |
| Headquarters | Zurich, Switzerland | — |
| Employees | 201–500 | — |
| Funding | Growth round, led by Invus · $50M raised | Seed · $4M raised |
| Best for | Business experts, data scientists, and MLOps and IT teams in enterprises that need explainable, governed analytics and AI | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
KNIME
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
KNIME
Profile in progress.
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, “KNIME vs Langfuse”, https://slateindex.ai/compare/knime-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.