Dagster vs GitHub

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

The short answer

GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 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 48% positive)
You need SOC 2 Type II or HIPAA coverage
Usage-based pricing suits your budget better than per seat
named as a practical orchestration choice

Choose GitHub if…

You want the brand AI engines rank higher (9 vs 0.7)
You want a free plan to start
You need a self-hosted or on-premises option
You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or PCI DSS or FedRAMP Tailored ATO coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dagster	GitHub
Visibility score	0.7%	9%
Change vs last week	New	New
Rank in MLOps Platforms	#40	#11
Share of voice	0.3%	2%
Mentions this run	2	14
Positive in AI answers	50%	48%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

GitHub leads on 3 of 3 engines

ChatGPT

11.5%

AI Mode

5.6%

Perplexity

2.2%

10%

DagsterGitHub

Head to head in AI answers

1 engine answers name both brands

0Dagster ranked higher

1GitHub ranked higher

Prompt	Engine	Dagster	GitHub
What should an MLOps platform integrate with?	Perplexity	#6	#1

Features, pricing & fit

Dimension	Dagster	GitHub
Pricing model	Usage-based	Per seat
Entry price	$10 / mo	Free; paid from $4 per seat / mo
Free plan	No · 30-day trial	Yes
Deployment	Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.	Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server
Compliance	SOC 2 Type II, HIPAA	SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO
Support	Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan)	Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise)
Founded	2018	2008
Headquarters	San Francisco, CA, United States	San Francisco, California
Employees	51–200	501–1,000
Funding	Series B · $49M raised	Round led by Sequoia Capital · $350M raised
Best for	Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack.	Development teams, from individuals to enterprises, that build, review, and ship software on one platform.