Dataiku vs Stack AI

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 AI Agents: it has a visibility score of 1.7 versus 1.4 for Stack AI, and ranks ahead in 0% of the answers that name both.

Choose Dataiku if…

You want the brand AI engines rank higher (1.7 vs 1.4)
AI answers describe it more positively (48% vs 0% positive)
You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or GxP coverage
You prefer a larger, established vendor (1,001–5,000 employees)

Choose Stack AI if…

You need ISO 27001 coverage
hosted no-code agent builders
free tiers for experimenting
solid G2 and Slashdot ratings

AI visibility side by side

Latest weekly run · Nov 3

Metric	Dataiku	Stack AI
Visibility score	1.7%	1.4%
Change vs last week	New	New
Rank in AI Agents	#46	#51
Share of voice	0.7%	0.4%
Mentions this run	5	3
Positive in AI answers	48%	0%

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

Visibility score trend

Weekly runs over the last 60 days

Dataiku 0pp · Stack AI 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 1 of 3 engines

ChatGPT

0.9%

AI Mode

Perplexity

4.1%

4.3%

DataikuStack AI

Head to head in AI answers

1 engine answers name both brands

0Dataiku ranked higher

1Stack AI ranked higher

Prompt	Engine	Dataiku	Stack AI
Which AI agent platform has the best reviews?	Perplexity	#8	#4

Features, pricing & fit

Dimension	Dataiku	Stack AI
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	Yes
Deployment	Runs on the clouds, data platforms and models a customer already has	Multi-tenant cloud, VPC, or on-premise
Integrations	—	500+
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	HIPAA, GDPR, SOC 2 Type II, ISO 27001
Support	—	Community support on Discord, Email support, Priority support, Dedicated support
Founded	2013	2023
Headquarters	New York City, NY	San Francisco, CA, United States
Employees	1,001–5,000	51–200
Funding	Series E · $600M raised	Series A · $19M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	IT teams and enterprise architecture teams that need to orchestrate, deploy, govern, and scale AI across the enterprise, including finance, risk and operations teams.