FeastThe Open Source Feature Store for Machine Learning
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Feast vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Feast is the stronger AI pick in MLOps Platforms: it has a visibility score of 2 versus 0.3 for Langfuse.
Choose Feast if…
- You want the brand AI engines rank higher (2 vs 0.3)
- Connects with data lakes and warehouses for consistent data retrieval
- Open-source, portable foundation option
Choose Langfuse if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or 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 | Feast | Langfuse |
|---|---|---|
| Visibility score | 2% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #29 | #51 |
| Share of voice | 0.6% | 0.2% |
| Mentions this run | 4 | 1 |
| Positive in AI answers | 50% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Feast 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Feast leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
FeastLangfuse
Head to head in AI answers
0 engine answers name both brands
0Feast ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Feast | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Self-hosted; Kubernetes, and AWS Lambda (alpha) | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | — | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Community Slack, Documentation | 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 | 2018 | — |
| Funding | — | Seed · $4M raised |
| Best for | Machine learning and AI teams that need the same feature definitions for training and inference. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Feast
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Feast
- Connects with data lakes and warehouses for consistent data retrieval
- Open-source, portable foundation option
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, “Feast vs Langfuse”, https://slateindex.ai/compare/feast-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.