DagsterData your team trusts. AI that runs on it.
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dagster is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.7 versus 0.3 for Langfuse.
Choose Dagster if…
- You want the brand AI engines rank higher (0.7 vs 0.3)
- You want a lower entry price ($10 vs $29)
- You need HIPAA coverage
- named as a practical orchestration choice
Choose Langfuse if…
- You want a free plan to start
- You need a self-hosted or on-premises option
- You need ISO 27001 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 | Dagster | Langfuse |
|---|---|---|
| Visibility score | 0.7% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #51 |
| Share of voice | 0.3% | 0.2% |
| Mentions this run | 2 | 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
Dagster 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Dagster leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterLangfuse
Head to head in AI answers
0 engine answers name both brands
0Dagster ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Dagster | Langfuse |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | $10 / mo | Free; paid from $29 / mo |
| Free plan | No · 30-day trial | Yes |
| Deployment | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | SOC 2 Type II, HIPAA | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | 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 | — |
| Headquarters | San Francisco, CA, United States | — |
| Employees | 51–200 | — |
| Funding | Series B · $49M raised | Seed · $4M raised |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
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, “Dagster vs Langfuse”, https://slateindex.ai/compare/dagster-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.