Product
Dagster
by Prefect
- Product website
- https://dagster.io/
- Documentation
- https://docs.dagster.io/docs/
- Pricing
- https://dagster.io/pricing
- Status page
- https://dagstercloud.statuspage.io/
- Categories
- No categories listed.
Description
Open-source data pipeline orchestrator for developing and maintaining data assets. Assets are declared as Python functions, with lineage and observability for their execution.
AI-native score
How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?
Unrated. Only 23% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.
| Component | Raw | Weight | Contribution |
|---|---|---|---|
| Integration | 1/10 | 35% | 3.5 |
| Trust | 3/6 | 30% | 15.0 |
| Portability | 2/4 | 20% | 10.0 |
| Security | 1/4 | 15% | 3.8 |
Signals that fired
- Integration: Verified llms.txt (+1)
- Trust: Sandbox environment (yes, +2) ; Verified trust center (+1)
- Portability: Self-hostable (+1) ; Open source (+1)
- Security: Compliance certifications (+1)
Signals not researched
These gaps cover the fields used in the AI-native score.
- Integration surfaces: WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits
- Trust & data policy: Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap
- Security & compliance: Access controls
Trust & data policy
- Trust center
- Vendor trust center
- Sandbox environment
- Yes
- Self-hostable
- Yes
- Open source
- Yes
- Source code
- https://github.com/dagster-io/dagster
- Self-hosting guide
- https://docs.dagster.io/docs/deployment/oss
Not yet researched Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap
Security & compliance
Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.
A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.
Compliance certifications
Not yet researched Access controls
Integration surfaces
How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).
- llms.txt
- https://dagster.io/llms.txt
Not yet researched WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits
Offers
No offers recorded.
Reviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
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Ready to decide?
Unrated · 23% researched. Grade withheld until more fields are verified.