Dataiku vs Snowflake

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 6.3 for Snowflake, and ranks ahead in 33% of the answers that name both.

Choose Dataiku if…

You want the brand AI engines rank higher (8.5 vs 6.3)
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 HIPAA or GxP or GDPR coverage
Bridges data scientists and business teams for collaboration

Choose Snowflake if…

You need ISO 27001 or SOC 1 or SOC 2 Type 2 or FedRAMP Moderate or FedRAMP High or DoD IL4 or DoD IL5 or PCI-DSS or HITRUST or TISAX or ITAR or ISO 42001 coverage
You prefer a larger, established vendor (5,000+ employees)
Multi-cloud deployment and secure, governed data sharing
Decoupled storage and compute architecture

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Snowflake
Visibility score	8.5%	6.3%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#13
Share of voice	2.9%	1.1%
Mentions this run	20	8
Positive in AI answers	48%	35%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Dataiku leads on 2 of 3 engines

ChatGPT

12.2%

7.8%

AI Mode

9.3%

4.8%

Perplexity

3.9%

6.3%

DataikuSnowflake

Head to head in AI answers

3 engine answers name both brands

1Dataiku ranked higher

2Snowflake ranked higher

Prompt	Engine	Dataiku	Snowflake
Which MLOps platform has the best reviews?	ChatGPT	#5	#4
Which MLOps Platforms vendors do analysts recommend?	ChatGPT	#5	#15
Is Altair RapidMiner a good MLOps platform?	AI Mode	#6	#5

Features, pricing & fit

Dimension	Dataiku	Snowflake
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	No
Deployment	Runs on the clouds, data platforms and models a customer already has	Fully managed cloud service that runs across major public clouds and regions
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	ISO 27001, SOC 1, SOC 2 Type 2, FedRAMP Moderate, FedRAMP High, DoD IL4, DoD IL5, PCI-DSS, HITRUST, TISAX, ITAR, ISO 42001
Support	—	Support, Priority Support, Status page, Community forum
Founded	2013	2012
Headquarters	New York City, NY	Andover, KS, United States
Employees	1,001–5,000	5,000+
Funding	Series E · $600M raised	Post-IPO equity
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations