DagsterData your team trusts. AI that runs on it.
vs
DataikuThe Platform for AI Success
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs Dataiku
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 0.7 for Dagster.
Choose Dagster if…
- AI answers describe it more positively (50% vs 48% positive)
- named as a practical orchestration choice
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 0.7)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or GxP or GDPR coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Bridges data scientists and business teams for collaboration
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | Dataiku |
|---|---|---|
| Visibility score | 0.7% | 8.5% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #12 |
| Share of voice | 0.3% | 2.9% |
| Mentions this run | 2 | 20 |
| Positive in AI answers | 50% | 48% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · Dataiku 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterDataiku
Head to head in AI answers
0 engine answers name both brands
0Dagster ranked higher
0Dataiku ranked higher
Features, pricing & fit
| Dimension | Dagster | Dataiku |
|---|---|---|
| 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. | Runs on the clouds, data platforms and models a customer already has |
| Compliance | SOC 2 Type II, HIPAA | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | — |
| Founded | 2018 | 2013 |
| Headquarters | San Francisco, CA, United States | New York City, NY |
| Employees | 51–200 | 1,001–5,000 |
| Funding | Series B · $49M raised | Series E · $600M raised |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance |
Plans side by side
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
Dataiku
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
- Broad enterprise MLOps platform
- Best for enterprise collaboration and governance
- Steep platform fees that scale aggressively
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dagster vs Dataiku”, https://slateindex.ai/compare/dagster-vs-dataiku, data of Nov 2, 2026. Licence: CC BY 4.0.