--- title: "dagster vs databend" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dagster-io-dagster-vs-databendlabs-databend" tools: ["dagster-io-dagster", "databendlabs-databend"] --- # dagster vs databend *GraphCanon updated Sep 20, 2026* ## 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. [dagster](https://dagster.io) reports 16k GitHub stars, 2.3k forks, and 2.6k open issues, last pushed Sep 11, 2026. [databend](https://docs.databend.com) has 9.4k stars, 897 forks, and 510 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [dagster's repository](https://github.com/dagster-io/dagster) and [databend's repository](https://github.com/databendlabs/databend). | | [dagster](/tools/dagster-io-dagster.md) | [databend](/tools/databendlabs-databend.md) | | --- | --- | --- | | Tagline | An orchestration platform for data assets | All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch. | | Stars | 16,144 | 9,444 | | Forks | 2,290 | 897 | | Open issues | 2,587 | 510 | | Language | Python | Rust | | Adopt for | Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. | Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dagster](/tools/dagster-io-dagster.md) | [databend](/tools/databendlabs-databend.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 2.6k | 510 | | Stars delta | +195 (30d) | +55 (30d) | | Open issues delta | -9 (30d) | -24 (30d) | | Full report | [trust report](/tools/dagster-io-dagster/trust.md) | [trust report](/tools/databendlabs-databend/trust.md) | ## Decision facts: dagster - **Adopt for:** Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. ## Decision facts: databend - **Adopt for:** Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. ## Choose when ### 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. ### 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 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 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. ## 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 9,444). 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](/tools/dagster-io-dagster/alternatives) and [databend alternatives](/tools/databendlabs-databend/alternatives) ([dagster markdown twin](/tools/dagster-io-dagster/alternatives.md), [databend markdown twin](/tools/databendlabs-databend/alternatives.md)), 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](/compare/dagster-io-dagster-vs-databendlabs-databend.md) 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](/tools/dagster-io-dagster/trust); [databend trust report](/tools/databendlabs-databend/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dagster-io-dagster`](/api/graphcanon/graph?tool=dagster-io-dagster) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_