Comet vs Dataiku

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

The short answer

Comet is the stronger AI pick in MLOps Platforms: it has a visibility score of 13.6 versus 8.5 for Dataiku, and ranks ahead in 50% of the answers that name both.

Choose Comet if…

You want the brand AI engines rank higher (13.6 vs 8.5)
AI answers describe it more positively (53% vs 48% positive)
You need a self-hosted or on-premises option
You need SOC 2 or ISO 27001 or ISO 9001 coverage

Choose Dataiku if…

You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II 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

AI visibility side by side

Latest weekly run · Nov 2

Metric	Comet	Dataiku
Visibility score	13.6%	8.5%
Change vs last week	New	New
Rank in MLOps Platforms	#10	#12
Share of voice	2.7%	2.9%
Mentions this run	19	20
Positive in AI answers	53%	48%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Comet leads on 2 of 3 engines

ChatGPT

21.3%

12.2%

AI Mode

4.8%

9.3%

Perplexity

14.8%

3.9%

CometDataiku

Head to head in AI answers

2 engine answers name both brands

1Comet ranked higher

1Dataiku ranked higher

Prompt	Engine	Comet	Dataiku
Which MLOps platform offers a free trial?	ChatGPT	#1	#2
Official website of the top MLOps platform vendors	ChatGPT	#9	#7

Features, pricing & fit

Dimension	Comet	Dataiku
Pricing model	Usage-based	—
Entry price	Free; paid from $19 / mo	—
Free plan	Yes	—
Deployment	Cloud, virtual private cloud, on-premises, or self-hosted open source	Runs on the clouds, data platforms and models a customer already has
Integrations	60+	—
Compliance	SOC 2, ISO 27001, ISO 9001, HIPAA, GDPR	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR
Support	Community (Slack and GitHub), Self-service (Ask AI and Opik MCP Server), Email support, Dedicated support team and SLAs	—
Founded	2017	2013
Headquarters	New York, NY, United States	New York City, NY
Employees	51–200	1,001–5,000
Funding	Series B · $70M raised	Series E · $600M raised
Best for	Developers and teams building LLM applications and AI agents who need tracing, testing and evaluation.	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance