ClearML vs Feast

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

The short answer

ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 2 for Feast, and ranks ahead in 100% of the answers that name both.

Choose ClearML if…

You want the brand AI engines rank higher (20.6 vs 2)
You need a self-hosted or on-premises option
open-source flexibility
transparent, clear pricing with a free self-hosted tier

Choose Feast if…

AI answers describe it more positively (50% vs 43% positive)
Connects with data lakes and warehouses for consistent data retrieval
Open-source, portable foundation option

AI visibility side by side

Latest weekly run · Nov 2

Metric	ClearML	Feast
Visibility score	20.6%	2%
Change vs last week	New	New
Rank in MLOps Platforms	#8	#29
Share of voice	4.5%	0.6%
Mentions this run	30	4
Positive in AI answers	43%	50%

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

Visibility score trend

Weekly runs over the last 60 days

ClearML 0pp · Feast 0pp over 0 weekly runs.

Engine by engine

ClearML leads on 3 of 3 engines

ChatGPT

22.2%

1.9%

AI Mode

14.3%

3.1%

Perplexity

25.2%

0.9%

ClearMLFeast

Head to head in AI answers

1 engine answers name both brands

1ClearML ranked higher

0Feast ranked higher

Prompt	Engine	ClearML	Feast
Official website of the top MLOps platform vendors	Perplexity	#12	#18

Features, pricing & fit

Dimension	ClearML	Feast
Pricing model	Per seat	—
Entry price	Free; paid from $15 per seat / mo	—
Free plan	Yes	—
Deployment	Hosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid.	Self-hosted; Kubernetes, and AWS Lambda (alpha)
Support	Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)	Community Slack, Documentation
Founded	2016	2018
Headquarters	Tel Aviv, Israel	—
Employees	11–50	—
Funding	Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised	—
Best for	Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects.	Machine learning and AI teams that need the same feature definitions for training and inference.