DataikuThe Platform for AI Success
vs
ZenMLAI orchestration, on the infra you choose
Comparison · MLOps Platforms · weekly run Nov 2
Dataiku vs ZenML
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 6 for ZenML, and ranks ahead in 67% of the answers that name both.
Choose Dataiku if…
- You want the brand AI engines rank higher (8.5 vs 6)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP or GDPR coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Bridges data scientists and business teams for collaboration
Choose ZenML if…
- AI answers describe it more positively (55% vs 48% positive)
- You need ISO 27001 coverage
- Free and fully transparent open-source option
- Open-source and Kubernetes-native MLOps tool
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dataiku | ZenML |
|---|---|---|
| Visibility score | 8.5% | 6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #12 | #14 |
| Share of voice | 2.9% | 1.5% |
| Mentions this run | 20 | 11 |
| Positive in AI answers | 48% | 55% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · ZenML 0pp over 0 weekly runs.
Engine by engine
Dataiku leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuZenML
Head to head in AI answers
3 engine answers name both brands
2Dataiku ranked higher
1ZenML ranked higher
| Prompt | Engine | Dataiku | ZenML |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #10 | #9 |
| Best MLOps platform with AI features | ChatGPT | #8 | #14 |
| Official website of the top MLOps platform vendors | ChatGPT | #7 | #17 |
Features, pricing & fit
| Dimension | Dataiku | ZenML |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $39 / mo |
| Free plan | — | Yes |
| Deployment | Runs on the clouds, data platforms and models a customer already has | Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC. |
| Integrations | — | 66+ |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 2 Type II, ISO 27001 |
| Support | — | Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise |
| Founded | 2013 | 2021 |
| Headquarters | New York City, NY | Munich, Germany |
| Employees | 1,001–5,000 | 11–50 |
| Funding | Series E · $600M raised | Seed extension · $6M raised |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | Data science and ML engineering teams that want pipelines and AI agents run on their own infrastructure, and agent teams that want to find the evals they are missing. |
Plans side by side
Dataiku
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
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
ZenML
- Free and fully transparent open-source option
- Open-source and Kubernetes-native MLOps tool
- Recommended starting point for MLOps lifecycle coverage
- Among the strongest MLOps platform alternatives
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs ZenML”, https://slateindex.ai/compare/dataiku-vs-zenml, data of Nov 2, 2026. Licence: CC BY 4.0.