DagsterData your team trusts. AI that runs on it.
vs
NannyMLEstimate your model performance in production without ground truth.
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs NannyML
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 for NannyML.
Choose Dagster if…
- You want the brand AI engines rank higher (0.7 vs 0)
- You want a lower entry price ($10 vs $399)
- You need SOC 2 Type II or HIPAA coverage
- You prefer a larger, established vendor (51–200 employees)
Choose NannyML if…
- You want a free plan to start
- Flat tiers pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | NannyML |
|---|---|---|
| Visibility score | 0.7% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #60 |
| Share of voice | 0.3% | 0% |
| Mentions this run | 2 | 0 |
| Positive in AI answers | 50% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · NannyML 0pp over 0 weekly runs.
Engine by engine
Dagster leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterNannyML
Head to head in AI answers
0 engine answers name both brands
0Dagster ranked higher
0NannyML ranked higher
Features, pricing & fit
| Dimension | Dagster | NannyML |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | $10 / mo | Free; paid from $399 / 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. | SaaS, or deployed in the customer's own cloud via NannyML Cloud; self-managed via the open-source library |
| Compliance | SOC 2 Type II, HIPAA | — |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | Email, Private Slack, 24/7 support, Dedicated data scientist |
| Founded | 2018 | — |
| Headquarters | San Francisco, CA, United States | Leuven, Belgium |
| Employees | 51–200 | 11–50 |
| Funding | Series B · $49M raised | Pre-seed · $2M raised |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Data science teams that need to monitor machine learning models after deployment |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
NannyML
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dagster vs NannyML”, https://slateindex.ai/compare/dagster-vs-nannyml, data of Nov 2, 2026. Licence: CC BY 4.0.