Dataiku vs n8n

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

The short answer

n8n is the stronger AI pick in AI Agents: it has a visibility score of 22 versus 1.7 for Dataiku, and ranks ahead in 100% of the answers that name both.

Choose Dataiku if…

You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP coverage
You prefer a larger, established vendor (1,001–5,000 employees)
Bridges data scientists and business teams for collaboration
End-to-end governance and operationalization

Choose n8n if…

You want the brand AI engines rank higher (22 vs 1.7)
AI answers describe it more positively (57% vs 48% positive)
You need a self-hosted or on-premises option
You need SOC 2 coverage

AI visibility side by side

Latest weekly run · Nov 3

Metric	Dataiku	n8n
Visibility score	1.7%	22%
Change vs last week	New	New
Rank in AI Agents	#46	#5
Share of voice	0.7%	4.4%
Mentions this run	5	30
Positive in AI answers	48%	57%

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

Visibility score trend

Weekly runs over the last 60 days

Dataiku 0pp · n8n 0pp over 0 weekly runs.

Engine by engine

n8n leads on 3 of 3 engines

ChatGPT

0.9%

27.2%

AI Mode

7.6%

Perplexity

4.1%

31.3%

Dataikun8n

Head to head in AI answers

1 engine answers name both brands

0Dataiku ranked higher

1n8n ranked higher

Prompt	Engine	Dataiku	n8n
Which AI agent platform has the best reviews?	Perplexity	#8	#2

Features, pricing & fit

Dimension	Dataiku	n8n
Deployment	Runs on the clouds, data platforms and models a customer already has	Hosted on n8n Cloud or self-hosted on-prem or with Docker.
Integrations	—	2000+
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	SOC 2, GDPR
Support	—	Forum support on all plans, Email support on Enterprise, Dedicated support with SLA on Enterprise
Founded	2013	2019
Headquarters	New York City, NY	Berlin, Germany
Employees	1,001–5,000	51–200
Funding	Series E · $600M raised	Series C · $240M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Technical teams that want the flexibility of code with the speed of no-code.