Simple, predictable pricing

Pay for what you use, and nothing more.

	Standard	Enterprise
Hybrid Your code is executed in your own infrastructure	$0.03 Max Measured in milliseconds of run time for each individual step within a job. See FAQ for details. per compute minute decreases with scale	Contact sales
Serverless Your code is executed in our infrastructure	$0.04 Max Measured in milliseconds of run time for each individual step within a job. See FAQ for details. per compute minute decreases with scale	Contact sales
Usage-based discounts Cost per compute minute is reduced as your usage increases. See FAQs for details.
Deployments
Full deployments A persistent fully-featured deployment that is intended to perform actions on a recurring basis	1	Custom Enterprise plans are configurable to include any number of Full Deployments based on your needs
Branch deployments A temporary deployment built for testing purposes that spins down when a branch is merged	Unlimited	Unlimited
Users & authentication
Assignable roles	Editor, Admin	Viewer, Editor, Admin
Users	Unlimited	Unlimited
SSO (Github, Google)
SAML integration (Okta, Active Directory)	–
	Get started Free for 30 days	Contact sales

Pricing philosophy

Dagster Cloud provides an elegant hosted service that is accessible to all: from a solo practitioner looking to run a one-off proof of concept all the way to the most demanding enterprise looking to free its data team of orchestration infrastructure concerns.

We do not price per task or per seat — both are shown to cause data teams to compromise by building larger, more complex tasks or limiting access to the orchestrator.

Dagster Cloud pricing is straightforward, predictable, and designed to encourage best practices:

• Usage-based fee per minute of computation usage billed to the second.
• The price-per-minute comes down as you hit certain usage levels.

You pay for what you use and nothing more. When the system runs, the meter runs. When the system stops, the meter stops.

Invite as many team members as you like and run any amount of computation to meet your data platform’s needs.

Get started for free

Pricing FAQ

Why do you have a compute-time based usage model?

We want Dagster to be available to everyone, which is why we started by building an open-source tool. While some services charge upfront fees or insist on a monthly minimum commitment, we think that a pricing model that is affordable to get started and scales down with usage is the best way to ensure that Dagster is widely accessible to users with simple use cases and large scale data platforms alike.

Why does the standard plan show a "Max" price per minute?

Dagster Cloud is billed per minute of compute time (measured in milliseconds). It starts at $0.03 per minute for Hybrid and $0.04 for Serverless, but rapidly decreases based on usage as follows:

Deployment	up to 10K	10K to 100K	100K+
Hybrid	$0.03	$0.02	$0.015
Serverless	$0.04	$0.03	$0.02

How are compute-time bills calculated?

Compute time is measured in milliseconds of run-time for each step within a job, excluding time for infrastructure activation. Every billing cycle, we aggregate the total run-time across all of those steps and round down to the nearest whole minute.

Does the open source solution cost anything?

There is no fee to using Dagster OSS as you host the infrastructure yourself.

Do you have a free trial?

Yes. You can get access to everything Dagster Cloud has to offer, free for 30 days.

Can I get a discount by paying annually or buying credits?

Yes! All plans already feature automatic discounts for scaled usage, and we are happy to create customized purchase structures for customers in our enterprise plan. Please contact our team to discuss.

What payment methods do you offer? Can I be invoiced?

We accept credit cards and ACH on our Standard plan, and custom invoicing is available to enterprise customers.

Do you offer special pricing for startups, higher ed, non-profits, etc?

We do not have a self-enrollment discount for not-for-profit organizations. If you have a unique use case you would like to discuss, please contact our team.