Dagster vs Valohai

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

The short answer

Valohai is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.9 versus 0.7 for Dagster, and ranks ahead in 100% of the answers that name both.

Choose Dagster if…

AI answers describe it more positively (50% vs 20% positive)
You need HIPAA coverage
You prefer a larger, established vendor (51–200 employees)
Usage-based pricing suits your budget better than per seat

Choose Valohai if…

You want the brand AI engines rank higher (1.9 vs 0.7)
You need a self-hosted or on-premises option
Per seat pricing suits your budget better than usage-based
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AI visibility side by side

Latest weekly run · Nov 2

Metric	Dagster	Valohai
Visibility score	0.7%	1.9%
Change vs last week	New	New
Rank in MLOps Platforms	#40	#30
Share of voice	0.3%	0.7%
Mentions this run	2	5
Positive in AI answers	50%	20%

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

Visibility score trend

Weekly runs over the last 60 days

Dagster 0pp · Valohai 0pp over 0 weekly runs.

Engine by engine

Valohai leads on 3 of 3 engines

ChatGPT

2.2%

AI Mode

Perplexity

2.2%

3.5%

DagsterValohai

Head to head in AI answers

1 engine answers name both brands

0Dagster ranked higher

1Valohai ranked higher

Prompt	Engine	Dagster	Valohai
Alternatives to the most popular MLOps platform	Perplexity	#17	#13

Features, pricing & fit

Dimension	Dagster	Valohai
Pricing model	Usage-based	Per seat
Entry price	$10 / mo	Contact sales
Free plan	No · 30-day trial	No · 14-day trial
Deployment	Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.	Managed cloud, on-premises, private cloud or air-gapped environments, on the customer's own cloud infrastructure
Compliance	SOC 2 Type II, HIPAA	SOC 2 Type II
Support	Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan)	Technical support from the Customer Engineering team, Valohai Training academy, Training and onboarding resources
Founded	2018	2016
Headquarters	San Francisco, CA, United States	San Francisco, California, US
Employees	51–200	11–50
Funding	Series B · $49M raised	Seed · $2M raised
Best for	Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack.	AI product and ML teams that combine LLMs with specialized models and need to run the work on their own cloud or on-premises infrastructure