LangfuseOpen Source Agent Evals & Observability
vs
TectonReal-time enterprise feature store
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Tecton
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Tecton is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.2 versus 0.3 for Langfuse.
Choose Langfuse if…
- AI answers describe it more positively (50% vs 0% positive)
- You need a self-hosted or on-premises option
- You need HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
Choose Tecton if…
- You want the brand AI engines rank higher (1.2 vs 0.3)
- You need GDPR (DPA available) coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Tecton |
|---|---|---|
| Visibility score | 0.3% | 1.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #38 |
| Share of voice | 0.2% | 0.3% |
| Mentions this run | 1 | 2 |
| Positive in AI answers | 50% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · Tecton 0pp over 0 weekly runs.
Engine by engine
Tecton leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseTecton
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Tecton ranked higher
Features, pricing & fit
| Dimension | Langfuse | Tecton |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $29 / mo | — |
| Free plan | Yes | — |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Hybrid SaaS, with features stored in the customer's cloud account; also offers a Virtual Private Tecton model with a shared-responsibility split |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | SOC 2 Type II, ISO 27001, GDPR (DPA available) |
| 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 | — |
| Headquarters | — | San Francisco, California (Databricks, parent company) |
| Funding | Seed · $4M raised | Seed and Series A · $160M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Larger teams running production ML and AI systems that need real-time features |
Plans side by side
Tecton
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Tecton
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Tecton”, https://slateindex.ai/compare/langfuse-vs-tecton, data of Nov 2, 2026. Licence: CC BY 4.0.