Feast vs Fiddler AI

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

The short answer

Feast is the stronger AI pick in MLOps Platforms: it has a visibility score of 2 versus 0.6 for Fiddler AI, and ranks ahead in 100% of the answers that name both.

Choose Feast if…

You want the brand AI engines rank higher (2 vs 0.6)
AI answers describe it more positively (50% vs 0% positive)
Connects with data lakes and warehouses for consistent data retrieval
Open-source, portable foundation option

Choose Fiddler AI if…

You need a self-hosted or on-premises option
You need SOC 2 Type II or HIPAA coverage
Integrates with observability and logging tools

AI visibility side by side

Latest weekly run · Nov 2

Metric	Feast	Fiddler AI
Visibility score	2%	0.6%
Change vs last week	New	New
Rank in MLOps Platforms	#29	#44
Share of voice	0.6%	0.3%
Mentions this run	4	2
Positive in AI answers	50%	0%

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

Visibility score trend

Weekly runs over the last 60 days

Feast 0pp · Fiddler AI 0pp over 0 weekly runs.

Engine by engine

Feast leads on 3 of 3 engines

ChatGPT

1.9%

0.9%

AI Mode

3.1%

0.9%

Perplexity

0.9%

FeastFiddler AI

Head to head in AI answers

1 engine answers name both brands

1Feast ranked higher

0Fiddler AI ranked higher

Prompt	Engine	Feast	Fiddler AI
What should an MLOps platform integrate with?	AI Mode	#2	#14

Features, pricing & fit

Dimension	Feast	Fiddler AI
Pricing model	—	Usage-based
Entry price	—	Free; paid from $0.002 / mo
Free plan	—	Yes
Deployment	Self-hosted; Kubernetes, and AWS Lambda (alpha)	SaaS, VPC, or on-premises
Integrations	—	100+
Compliance	—	SOC 2 Type II, HIPAA
Support	Community Slack, Documentation	White-glove support with dedicated communication channels, Named Customer Success Manager on the Enterprise plan
Founded	2018	2018
Headquarters	—	Palo Alto, California, United States
Employees	—	51–200
Funding	—	Series B extension · $100M raised
Best for	Machine learning and AI teams that need the same feature definitions for training and inference.	Enterprises deploying AI agents and predictive models, especially highly regulated industries such as financial services, healthcare, insurance and government.