Automate your pipelines without breaking the bank
With workloads that span ELT, AI, LLMs and dbt, see why teams everywhere are replacing their legacy tools to adopt Dagster's asset-based framework.
Solo
Perfect for personal projects and building simple pipelines
$10/month
7.5k credits/month
1 User
1 Code location
1 Deployment
30-day free trial
Get started
Starter
For production pipelines that scale, with role-based access control and catalog search.
$100/month
30k credits/month
Up to 3 Users
5 Code locations
1 Deployment
Catalog Search
30-day free trial
Get started
Pro
For building and scaling large-scale data platforms.
Custom
Unlimited code locations
Unlimited deployments
Cost Tracking and Insights
Personalized Onboarding Support
Private Slack channel
Uptime SLAs
Custom Security Questionnaires
Request a Demo
Serverless Deployments
Solo
Starter
Pro
Serverless compute | $.005 per compute minute | $.005 per compute minute | Flat fee |
Compute resourcing | Fixed | Fixed | Customized |
Core features
Solo
Starter
Pro
Asset-based orchestration |  | | |
Workflow-based orchestration | | | |
Local dev workflow | | | |
Branch deployments | | | |
Event-based automations | | | |
Alerts | | | |
Partitions | | | |
Backfills | | | |
Data quality
Solo
Starter
Pro
Asset quality checks | | | |
Asset freshness checks | | | |
Integration with dbt tests | | | |
Data catalog
Solo
Starter
Pro
Asset metadata in UI | | | |
Asset-level lineage | | | |
Column-level lineage | – | – | |
Catalog search | – | | |
Catalog focus-mode for less technical stakeholders | – | – | |
Platform insights
Solo
Starter
Pro
Platform and pipeline metrics | | | |
Metrics-based alerts | | | |
Custom metrics | – | – | |
Cost tracking for BiqQuery and Snowflake | – | – | |
Access/permissions
Solo
Starter
Pro
Role based access control | – | Per deployment | Per project |
Roles | Admin | Viewer, Editor, Admin | Viewer, Launcher, Editor, Admin |
Teams | – | – | |
Audit logs | – | – | |
SAML integration | – | – | |
SAML sync | – | – | |
Support
Solo
Starter
Pro
Billing support | | | |
Ask-AI | | | |
Dagster community | | | |
Personalized onboarding support | – | – | |
Dedicated Slack or Microsoft Teams channel | – | – | |
Premium support | – | – | |
Get started today
Unlimited users, a free trial, and 30 days to experience the unique Dagster approach.
Pricing calculator
Credits per month
Users
Suggested plan
Monthly estimate
10
Serverless deployment compute is billed in addition at $0.005 per minute.
Try it free for 30 days
Pricing FAQ
How do you measure usage?
In Dagster+, credits measure the key events that drive your data platform, as well as the history and metadata for your assets. A credit is defined as the sum of asset materializations and ops executed.
Every asset materialized in your pipeline counts as 1 credit. This includes assets defined as software-defined assets as well as asset materialization events logged from an op.
Each op that executes counts as 1 credit. This applies whether the ops are executed in a job or as part of an underlying asset.
How much can I expect to pay on the Starter plan?
If you are on a team with three data engineers building simple pipelines, your bill will be just $100 a month - no need to worry about big fixed costs or expensive compute bills. This plan comes with basic terms and conditions for easy contracting but excludes indemnity, liability, or a DPA.
Do you have a free trial?
Yes. You can get access to everything Dagster+ has to offer, free for 30 days.
Can I get a discount by paying annually or buying credits?
Yes! We are happy to create customized purchase structures for customers in our Pro plan. Please contact our team to discuss.
What payment methods do you offer? Can I be invoiced?
We accept credit and debt cards on our Start and Solo plans. Custom invoicing and ACH available to Pro customers.
Do you offer special pricing for startups, higher ed, non-profits, etc?
We do not currently offer a self-enrollment discount for not-for-profit organizations. If you are interested in a pro plan as a not-for-profit, please contact our team.