DagsterData your team trusts. AI that runs on it.
vs
MLflowThe open source AI engineering platform for agents, LLMs and ML models
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs MLflow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
MLflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 50.9 versus 0.7 for Dagster, and ranks ahead in 100% of the answers that name both.
Choose Dagster if…
- AI answers describe it more positively (50% vs 44% positive)
- You need SOC 2 Type II or HIPAA coverage
- named as a practical orchestration choice
Choose MLflow if…
- You want the brand AI engines rank higher (50.9 vs 0.7)
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | MLflow |
|---|---|---|
| Visibility score | 0.7% | 50.9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #1 |
| Share of voice | 0.3% | 9.7% |
| Mentions this run | 2 | 65 |
| Positive in AI answers | 50% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · MLflow 0pp over 0 weekly runs.
Engine by engine
MLflow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterMLflow
Head to head in AI answers
2 engine answers name both brands
0Dagster ranked higher
2MLflow ranked higher
| Prompt | Engine | Dagster | MLflow |
|---|---|---|---|
| What should an MLOps platform integrate with? | Perplexity | #6 | #3 |
| Alternatives to the most popular MLOps platform | Perplexity | #17 | #1 |
Features, pricing & fit
| Dimension | Dagster | MLflow |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $10 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. | Self-hosted from the open source package, started with one command or Docker. |
| Integrations | — | 100+ |
| Compliance | SOC 2 Type II, HIPAA | — |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub |
| Founded | 2018 | 2018 |
| Headquarters | San Francisco, CA, United States | San Francisco, CA, United States |
| Employees | 51–200 | — |
| Funding | Series B · $49M raised | — |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in. |
Plans side by side
MLflow
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
MLflow
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
- portability and avoiding cloud or vendor lock-in
- strong free starting point for small teams
- requires DevOps capability and significant infrastructure and integration work
- lower rating of about 4.3/5
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dagster vs MLflow”, https://slateindex.ai/compare/dagster-vs-mlflow, data of Nov 2, 2026. Licence: CC BY 4.0.