Comparison
dagster vs databend
Verdict
Pick dagster if dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows; pick databend if data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.
Markdown twin · dagster alternatives · databend alternatives
GraphCanon updated Sep 19, 2026
16views this month
vs
Trust & integrity
| Signal | dagster | databend |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 14, 2026 · github_public_v1 | Very active (0d since push) As of Aug 21, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 14, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 21, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dagster
- An orchestration platform for data assets
- databend
- All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.
Stars
- dagster
- 16k
- databend
- 9.4k
Forks
- dagster
- 2.3k
- databend
- 891
Open issues
- dagster
- 2.6k
- databend
- 557
Language
- dagster
- Python
- databend
- Rust
Adopt for
- dagster
- Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows.
- databend
- Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.
Persona
- dagster
- -
- databend
- -
Runtime
- dagster
- -
- databend
- -
License
- dagster
- Apache-2.0
- databend
- Other
Last pushed
- dagster
- Sep 11, 2026
- databend
- Aug 21, 2026
Categories
- dagster
- Data & Retrieval, Evaluation & Observability
- databend
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- dagster
- 2d
- databend
- 0d
Open issues (now)
- dagster
- 2.6k
- databend
- 557
Stars delta
- dagster
- +195 (30d)
- databend
- +31 (30d)
Open issues delta
- dagster
- -9 (30d)
- databend
- +23 (30d)
Full report
- dagster
- Trust report
- databend
- Trust report
Choose dagster if…
- dagster is primarily Python; databend is Rust.
- License: dagster is Apache-2.0, databend is Other.
- Tags unique to dagster: data-engineering, data-orchestrator, etl, mlops.
- Also covers Evaluation & Observability.
- When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code.
When NOT to use dagster
- If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements.
- In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem.
- For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding.
- If specific features or integrations crucial to your workflow are found lacking in comparison to competitors.
Choose databend if…
- databend is primarily Rust; dagster is Python.
- License: databend is Other, dagster is Apache-2.0.
- Tags unique to databend: ai, bigdata, cloud-native, database.
- Also covers Vector Databases.
- - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
When NOT to use databend
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem.
- - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts.
- - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dagster-io/dagster) · observed Sep 14, 2026
- GitHub forks (dagster-io/dagster) · observed Sep 14, 2026
- Last push (dagster-io/dagster) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 14, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (databendlabs/databend) · observed Sep 19, 2026
- GitHub forks (databendlabs/databend) · observed Sep 19, 2026
- Last push (databendlabs/databend) · observed Aug 21, 2026
- License file (Other) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dagster 16k · databend 9.4k (synced Sep 14, 2026).
Common questions
- What is the difference between dagster and databend?
- dagster: An orchestration platform for data assets. databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dagster over databend?
- Choose dagster over databend when dagster is primarily Python; databend is Rust; License: dagster is Apache-2.0, databend is Other; Tags unique to dagster: data-engineering, data-orchestrator, etl, mlops; Also covers Evaluation & Observability; When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code.
- When should I choose databend over dagster?
- Choose databend over dagster when databend is primarily Rust; dagster is Python; License: databend is Other, dagster is Apache-2.0; Tags unique to databend: ai, bigdata, cloud-native, database; Also covers Vector Databases; - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
- When should I avoid dagster?
- If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements. In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem. For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding. If specific features or integrations crucial to your workflow are found lacking in comparison to competitors.
- When should I avoid databend?
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
- Is dagster or databend more popular on GitHub?
- dagster has more GitHub stars (16,144 vs 9,420). Stars measure visibility, not whether either tool fits your constraints.
- Are dagster and databend open source?
- Yes - both are open-source projects on GitHub (dagster: Apache-2.0, databend: Other).
- Where can I find alternatives to dagster or databend?
- GraphCanon lists graph-backed alternatives at dagster alternatives and databend alternatives (dagster markdown twin, databend markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dagster or databend?
- dagster: Very active. databend: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for dagster and databend?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dagster trust report; databend trust report.