Dataiku vs Kubeflow

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Kubeflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.1 versus 8.5 for Dataiku, and ranks ahead in 53% of the answers that name both.

Choose Dataiku if…

AI answers describe it more positively (48% vs 17% positive)
You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 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 Kubeflow if…

You want the brand AI engines rank higher (20.1 vs 8.5)
You need a self-hosted or on-premises option
free and open source
strong choice for Kubernetes-native, cloud-native ML platforms

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Kubeflow
Visibility score	8.5%	20.1%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#9
Share of voice	2.9%	5.8%
Mentions this run	20	39
Positive in AI answers	48%	17%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Kubeflow leads on 3 of 3 engines

ChatGPT

12.2%

19.1%

AI Mode

9.3%

20.6%

Perplexity

3.9%

20.6%

DataikuKubeflow

Head to head in AI answers

15 engine answers name both brands

7Dataiku ranked higher

8Kubeflow ranked higher

Prompt	Engine	Dataiku	Kubeflow
What features matter most in an MLOps platform?	ChatGPT	#9	#7
What are the best MLOps Platforms tools in 2026?	ChatGPT	#10	#6
What are the best MLOps Platforms tools in 2026?	Perplexity	#10	#9
Best MLOps platform for enterprise	Perplexity	#8	#9
Which MLOps platform has the best reviews?	ChatGPT	#5	#9
Compare the leading MLOps Platforms platforms	ChatGPT	#9	#6
Compare the leading MLOps Platforms platforms	AI Mode	#9	#6
Compare the leading MLOps Platforms platforms	Perplexity	#9	#7
Most affordable MLOps platform that is still reliable	AI Mode	#2	#6
Best MLOps platform with AI features	ChatGPT	#8	#9
Official website of the top MLOps platform vendors	ChatGPT	#7	#14
Official website of the top MLOps platform vendors	AI Mode	#7	#13

Features, pricing & fit

Dimension	Dataiku	Kubeflow
Deployment	Runs on the clouds, data platforms and models a customer already has	Runs as a collection of microservices on any Kubernetes cluster, including on-premises, hybrid, and AWS, Azure, or GCP.
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	—
Support	—	Weekly community calls, Mailing list, Slack workspace
Founded	2013	2017
Headquarters	New York City, NY	Sunnyvale, CA, United States
Employees	1,001–5,000	51–200
Funding	Series E · $600M raised	—
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	—