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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 score8.5%6%
Change vs last weekNewNew
Rank in MLOps Platforms#12#14
Share of voice2.9%1.5%
Mentions this run2011
Positive in AI answers48%55%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Dataiku 9%

Dataiku 0pp · ZenML 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT
12.2%
11.7%
AI Mode
9.3%
6.3%
Perplexity
3.9%
0%
DataikuZenML

Head to head in AI answers

3 engine answers name both brands

2Dataiku ranked higher
1ZenML ranked higher

Features, pricing & fit

DimensionDataikuZenML
Pricing model—Flat tiers
Entry price—Free; paid from $39 / mo
Free plan—Yes
DeploymentRuns on the clouds, data platforms and models a customer already hasSelf-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+
ComplianceISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPRSOC 2 Type II, ISO 27001
Support—Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded20132021
HeadquartersNew York City, NYMunich, Germany
Employees1,001–5,00011–50
FundingSeries E · $600M raisedSeed extension · $6M raised
Best forLarge enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governanceData 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.

ZenML

Open Source$0self-hosted
Starter$39month
EnterpriseCustomcustom
ZenML pricing

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.