DataikuThe Platform for AI Success

IguazioThe Iguazio AI platform operationalizes and de-risks ML & gen AI applications at scale.

Comparison · MLOps Platforms · weekly run Nov 2

Dataiku vs Iguazio

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 Iguazio, 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 0% 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 Iguazio if…

You need a self-hosted or on-premises option

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Iguazio
Visibility score	8.5%	1.9%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#32
Share of voice	2.9%	0.4%
Mentions this run	20	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 · Iguazio 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

1.9%

AI Mode

9.3%

Perplexity

3.9%

3.7%

DataikuIguazio

Head to head in AI answers

2 engine answers name both brands

2Dataiku ranked higher

0Iguazio ranked higher

Prompt	Engine	Dataiku	Iguazio
Which MLOps Platforms vendors do analysts recommend?	ChatGPT	#5	#13
Official website of the top MLOps platform vendors	ChatGPT	#7	#18

Features, pricing & fit

Dimension	Dataiku	Iguazio
Deployment	Runs on the clouds, data platforms and models a customer already has	Deployed on multi-cloud, on-premises or hybrid environments, on the customer's own network rather than as SaaS.
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	—
Support	—	Customer Support
Founded	2013	—
Headquarters	New York City, NY	—
Employees	1,001–5,000	—
Funding	Series E · $600M raised	Round led by INCapital Ventures · $72M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Organizations that need to move ML and gen AI applications into live production with governance and monitoring.