Comet vs Dagster

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

The short answer

Comet is the stronger AI pick in MLOps Platforms: it has a visibility score of 13.6 versus 0.7 for Dagster, and ranks ahead in 100% of the answers that name both.

Choose Comet if…

You want the brand AI engines rank higher (13.6 vs 0.7)
You want a free plan to start
AI answers describe it more positively (53% vs 50% positive)
You need a self-hosted or on-premises option

Choose Dagster if…

You want a lower entry price ($10 vs $19)
You need SOC 2 Type II coverage
named as a practical orchestration choice

AI visibility side by side

Latest weekly run · Nov 2

Metric	Comet	Dagster
Visibility score	13.6%	0.7%
Change vs last week	New	New
Rank in MLOps Platforms	#10	#40
Share of voice	2.7%	0.3%
Mentions this run	19	2
Positive in AI answers	53%	50%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Comet leads on 3 of 3 engines

ChatGPT

21.3%

AI Mode

4.8%

Perplexity

14.8%

2.2%

CometDagster

Head to head in AI answers

1 engine answers name both brands

1Comet ranked higher

0Dagster ranked higher

Prompt	Engine	Comet	Dagster
Alternatives to the most popular MLOps platform	Perplexity	#4	#17

Features, pricing & fit

Dimension	Comet	Dagster
Pricing model	Usage-based	Usage-based
Entry price	Free; paid from $19 / mo	$10 / mo
Free plan	Yes	No · 30-day trial
Deployment	Cloud, virtual private cloud, on-premises, or self-hosted open source	Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.
Integrations	60+	—
Compliance	SOC 2, ISO 27001, ISO 9001, HIPAA, GDPR	SOC 2 Type II, HIPAA
Support	Community (Slack and GitHub), Self-service (Ask AI and Opik MCP Server), Email support, Dedicated support team and SLAs	Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan)
Founded	2017	2018
Headquarters	New York, NY, United States	San Francisco, CA, United States
Employees	51–200	51–200
Funding	Series B · $70M raised	Series B · $49M raised
Best for	Developers and teams building LLM applications and AI agents who need tracing, testing and evaluation.	Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack.