Dataiku vs Evidently 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 MLOps Platforms: it has a visibility score of 8.5 versus 2.4 for Evidently AI, 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 2.4)
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
You prefer a larger, established vendor (1,001–5,000 employees)
Bridges data scientists and business teams for collaboration

Choose Evidently AI if…

AI answers describe it more positively (50% vs 48% positive)
Listed as a monitoring option in vendor-neutral ML stacks
Named alongside Prometheus and Grafana in monitoring setups
Grouped with Arize and WhyLabs as a monitoring tool

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Evidently AI
Visibility score	8.5%	2.4%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#25
Share of voice	2.9%	0.9%
Mentions this run	20	7
Positive in AI answers	48%	50%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

5.4%

AI Mode

9.3%

Perplexity

3.9%

1.9%

DataikuEvidently AI

Head to head in AI answers

2 engine answers name both brands

2Dataiku ranked higher

0Evidently AI ranked higher

Prompt	Engine	Dataiku	Evidently AI
What are the best MLOps Platforms tools in 2026?	ChatGPT	#10	#16
Official website of the top MLOps platform vendors	Perplexity	#7	#19

Features, pricing & fit

Dimension	Dataiku	Evidently AI
Deployment	Runs on the clouds, data platforms and models a customer already has	The open-source version runs on the customer's own infrastructure; Evidently Cloud runs on managed infrastructure.
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	—
Founded	2013	2020
Headquarters	New York City, NY	San Francisco, CA, United States
Employees	1,001–5,000	1–10
Funding	Series E · $600M raised	Seed · $1M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	AI and ML teams that want open-source evaluation, testing and monitoring for LLM applications and predictive models.