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DataikuThe Platform for AI Success
vs
Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
Comparison · MLOps Platforms · weekly run Nov 2

Dataiku vs Domino Data Lab

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 5.6 for Domino Data Lab, and ranks ahead in 64% of the answers that name both.

Choose Dataiku if…

  • You want the brand AI engines rank higher (8.5 vs 5.6)
  • AI answers describe it more positively (48% vs 35% positive)
  • You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or GxP coverage
  • You prefer a larger, established vendor (1,001–5,000 employees)

Choose Domino Data Lab if…

  • You need a self-hosted or on-premises option
  • You need ISO 27001 or ISO 9001 or SOC 2 coverage
  • Reproducible development environments
  • Centralized governance and lifecycle policy enforcement

AI visibility side by side

Latest weekly run · Nov 2

Metric Dataiku Domino Data Lab
Visibility score8.5%5.6%
Change vs last weekNewNew
Rank in MLOps Platforms#12#15
Share of voice2.9%2.5%
Mentions this run2017
Positive in AI answers48%35%

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 · Domino Data Lab 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 2 of 3 engines

ChatGPT
12.2%
7.8%
AI Mode
9.3%
4.3%
Perplexity
3.9%
4.8%
DataikuDomino Data Lab

Head to head in AI answers

14 engine answers name both brands

9Dataiku ranked higher
5Domino Data Lab ranked higher

Features, pricing & fit

DimensionDataikuDomino Data Lab
Pricing model—Flat tiers
Entry price—Contact sales
Free plan—No
DeploymentRuns on the clouds, data platforms and models a customer already hasSingle-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes.
ComplianceISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPRISO 27001, ISO 9001, SOC 2, HIPAA, GDPR
Support—Premium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customers
Founded20132013
HeadquartersNew York City, NYSan Francisco, CA
Employees1,001–5,000201–500
FundingSeries E · $600M raisedStrategic equity investment from UBS · $228M raised
Best forLarge enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governanceLarge enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams.

Plans side by side

Dataiku

Pricing not available.

Domino Data Lab

Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Domino Data Lab 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

Domino Data Lab

  • Reproducible development environments
  • Centralized governance and lifecycle policy enforcement
  • Suited to collaborative, governed enterprise data science at scale
  • Analyst recognition, such as a Gartner Visionary placement

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Dataiku vs Domino Data Lab”, https://slateindex.ai/compare/dataiku-vs-domino-data-lab, data of Nov 2, 2026. Licence: CC BY 4.0.