Dataiku vs Valohai

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 1.9 for Valohai, and ranks ahead in 100% of the answers that name both.

Choose Dataiku if…

You want the brand AI engines rank higher (8.5 vs 1.9)
AI answers describe it more positively (48% vs 20% positive)
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)

Choose Valohai if…

You need a self-hosted or on-premises option
14-day free trial

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Valohai
Visibility score	8.5%	1.9%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#30
Share of voice	2.9%	0.7%
Mentions this run	20	5
Positive in AI answers	48%	20%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

2.2%

AI Mode

9.3%

Perplexity

3.9%

3.5%

DataikuValohai

Head to head in AI answers

2 engine answers name both brands

2Dataiku ranked higher

0Valohai ranked higher

Prompt	Engine	Dataiku	Valohai
Which MLOps platform offers a free trial?	ChatGPT	#2	#6
Official website of the top MLOps platform vendors	ChatGPT	#7	#13

Features, pricing & fit

Dimension	Dataiku	Valohai
Pricing model	—	Per seat
Entry price	—	Contact sales
Free plan	—	No · 14-day trial
Deployment	Runs on the clouds, data platforms and models a customer already has	Managed cloud, on-premises, private cloud or air-gapped environments, on the customer's own cloud infrastructure
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	SOC 2 Type II
Support	—	Technical support from the Customer Engineering team, Valohai Training academy, Training and onboarding resources
Founded	2013	2016
Headquarters	New York City, NY	San Francisco, California, US
Employees	1,001–5,000	11–50
Funding	Series E · $600M raised	Seed · $2M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	AI product and ML teams that combine LLMs with specialized models and need to run the work on their own cloud or on-premises infrastructure