DataRobotThe platform enterprises trust to build, operate, and govern their agents.

FeastThe Open Source Feature Store for Machine Learning

Comparison · MLOps Platforms · weekly run Nov 2

DataRobot vs Feast

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

The short answer

DataRobot is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 2 for Feast, and ranks ahead in 100% of the answers that name both.

Choose DataRobot if…

You want the brand AI engines rank higher (5.6 vs 2)
You need a self-hosted or on-premises option
You need ISO 27001 or SOC 2 Type II or HIPAA coverage
Automated machine learning (AutoML) capabilities

Choose Feast if…

AI answers describe it more positively (50% vs 27% 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	DataRobot	Feast
Visibility score	5.6%	2%
Change vs last week	New	New
Rank in MLOps Platforms	#16	#29
Share of voice	2.1%	0.6%
Mentions this run	14	4
Positive in AI answers	27%	50%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

DataRobot leads on 3 of 3 engines

ChatGPT

5.4%

1.9%

AI Mode

7.4%

3.1%

Perplexity

4.1%

0.9%

DataRobotFeast

Head to head in AI answers

1 engine answers name both brands

1DataRobot ranked higher

0Feast ranked higher

Prompt	Engine	DataRobot	Feast
Official website of the top MLOps platform vendors	Perplexity	#8	#18

Features, pricing & fit

Dimension	DataRobot	Feast
Deployment	Cloud, hybrid, on-premises, and air-gapped environments	Self-hosted; Kubernetes, and AWS Lambda (alpha)
Compliance	ISO 27001, SOC 2 Type II, HIPAA	—
Support	Online documentation, Support center	Community Slack, Documentation
Founded	2012	2018
Headquarters	Boston, Massachusetts, USA	—
Employees	501–1,000	—
Funding	Corporate minority round (SBI Holdings)	—
Best for	Large enterprises in regulated industries that need to take agentic AI from pilot into production.	Machine learning and AI teams that need the same feature definitions for training and inference.