Apache Airflow vs Dagster
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 0.7 for Dagster, and ranks ahead in 50% of the answers that name both.
Choose Apache Airflow if…
- You want the brand AI engines rank higher (5.2 vs 0.7)
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
Choose Dagster if…
- AI answers describe it more positively (50% vs 40% positive)
- You need SOC 2 Type II or HIPAA coverage
- named as a practical orchestration choice
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Apache Airflow | Dagster |
|---|---|---|
| Visibility score | 5.2% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #18 | #40 |
| Share of voice | 1.5% | 0.3% |
| Mentions this run | 10 | 2 |
| 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 · Dagster 0pp over 0 weekly runs.
Engine by engine
Apache Airflow leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Apache Airflow | Dagster |
|---|---|---|---|
| What should an MLOps platform integrate with? | Perplexity | #4 | #6 |
| Alternatives to the most popular MLOps platform | Perplexity | #18 | #17 |
Features, pricing & fit
| Dimension | Apache Airflow | Dagster |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | $10 / mo |
| Free plan | — | No · 30-day trial |
| Deployment | Self-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images. | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. |
| Integrations | 98+ | — |
| Compliance | — | SOC 2 Type II, HIPAA |
| Support | — | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) |
| Founded | 2015 | 2018 |
| Headquarters | Wilmington, Delaware | San Francisco, CA, United States |
| Employees | — | 51–200 |
| Funding | — | Series B · $49M raised |
| Best for | Teams that run both data engineering and data science workflows and want to define them in Python. | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. |
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
Dagster
- named as a practical orchestration choice
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Airflow vs Dagster”, https://slateindex.ai/compare/apache-airflow-vs-dagster, data of Nov 2, 2026. Licence: CC BY 4.0.