DagsHub vs Dagster

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

The short answer

DagsHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 3.5 versus 0.7 for Dagster, and ranks ahead in 100% of the answers that name both.

Choose DagsHub if…

You want the brand AI engines rank higher (3.5 vs 0.7)
You want a free plan to start
Per seat pricing suits your budget better than usage-based
Structured annual pricing with yearly billing options on team tiers

Choose Dagster if…

You want a lower entry price ($10 vs $119)
You need SOC 2 Type II or HIPAA coverage
You prefer a larger, established vendor (51–200 employees)
Usage-based pricing suits your budget better than per seat

AI visibility side by side

Latest weekly run · Nov 2

Metric	DagsHub	Dagster
Visibility score	3.5%	0.7%
Change vs last week	New	New
Rank in MLOps Platforms	#23	#40
Share of voice	0.6%	0.3%
Mentions this run	4	2
Positive in AI answers	—	50%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

DagsHub leads on 3 of 3 engines

ChatGPT

3.1%

AI Mode

3.1%

Perplexity

4.3%

2.2%

DagsHubDagster

Head to head in AI answers

1 engine answers name both brands

1DagsHub ranked higher

0Dagster ranked higher

Prompt	Engine	DagsHub	Dagster
Alternatives to the most popular MLOps platform	Perplexity	#5	#17

Features, pricing & fit

Dimension	DagsHub	Dagster
Pricing model	Per seat	Usage-based
Entry price	Free; paid from $119 per seat / mo	$10 / mo
Free plan	Yes	No · 30-day trial
Deployment	Cloud hosting, with on-premise, VPC, and air-gapped installation on the Enterprise plan.	Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.
Compliance	—	SOC 2 Type II, HIPAA
Support	Community chat and email, Priority support on the Team plan, Enterprise SLA and support	Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan)
Founded	2019	2018
Headquarters	San Francisco, California, United States	San Francisco, CA, United States
Employees	11–50	51–200
Funding	Accelerator/incubator deal	Series B · $49M raised
Best for	Data science and AI teams that manage multimodal datasets, experiments, and models, from individuals building small applications to enterprises running high-scale workloads.	Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack.