Dataiku vs Flyte

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 0.9 for Flyte, 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 0.9)
AI answers describe it more positively (48% vs 33% positive)
You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP or GDPR coverage
Bridges data scientists and business teams for collaboration

Choose Flyte if…

You need a self-hosted or on-premises option
You need SOC 2 Type I coverage
Recommended as an open-source, portable MLOps foundation
Named among specialized tools in vendor comparison lists

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Flyte
Visibility score	8.5%	0.9%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#39
Share of voice	2.9%	0.4%
Mentions this run	20	3
Positive in AI answers	48%	33%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

0.9%

AI Mode

9.3%

Perplexity

3.9%

1.9%

DataikuFlyte

Head to head in AI answers

2 engine answers name both brands

2Dataiku ranked higher

0Flyte ranked higher

Prompt	Engine	Dataiku	Flyte
Official website of the top MLOps platform vendors	ChatGPT	#7	#20
Official website of the top MLOps platform vendors	Perplexity	#7	#17

Features, pricing & fit

Dimension	Dataiku	Flyte
Deployment	Runs on the clouds, data platforms and models a customer already has	Open source, self-hosted by the user on their own Kubernetes cluster, or managed Enterprise Flyte on Union.ai, with the data plane in the customer's cloud.
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	SOC 2 Type II, SOC 2 Type I
Founded	2013	—
Headquarters	New York City, NY	Bellevue, Washington
Employees	1,001–5,000	—
Funding	Series E · $600M raised	Series A extension (completed Feb 2026, $38.1M total) · $67M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Teams running training, serving and agent workloads that need automatic recovery from failures.