Apache AirflowOpen-source platform to programmatically author, schedule, and monitor workflows.
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Apache Airflow vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Apache Airflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.2 versus 0.3 for Langfuse.
Choose Apache Airflow if…
- You want the brand AI engines rank higher (5.2 vs 0.3)
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
Choose Langfuse if…
- You need more native integrations (100+ vs 98+)
- AI answers describe it more positively (50% vs 40% positive)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Apache Airflow | Langfuse |
|---|---|---|
| Visibility score | 5.2% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #18 | #51 |
| Share of voice | 1.5% | 0.2% |
| Mentions this run | 10 | 1 |
| Positive in AI answers | 40% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Airflow 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Apache Airflow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache AirflowLangfuse
Head to head in AI answers
0 engine answers name both brands
0Apache Airflow ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Apache Airflow | Langfuse |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Deployment | Self-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | 98+ | 100+ |
| Compliance | — | 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 | 2015 | — |
| Headquarters | Wilmington, Delaware | — |
| Funding | — | Seed · $4M raised |
| Best for | Teams that run both data engineering and data science workflows and want to define them in Python. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Apache Airflow
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Apache Airflow
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
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, “Apache Airflow vs Langfuse”, https://slateindex.ai/compare/apache-airflow-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.