--- title: "dagster vs kestra" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dagster-io-dagster-vs-kestra-io-kestra" tools: ["dagster-io-dagster", "kestra-io-kestra"] --- # dagster vs kestra *GraphCanon updated Aug 19, 2026* ## Verdict Pick dagster if dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows; pick kestra if developed in Java, Kestra offers robust orchestration and scheduling services for mission-critical applications with support for infrastructure as code, event-driven architectures, and tight CI/CD integration. [dagster](https://dagster.io) reports 16k GitHub stars, 2.2k forks, and 2.6k open issues, last pushed Aug 9, 2026. [kestra](https://go.kestra.io/home) has 28k stars, 2.9k forks, and 549 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [dagster's repository](https://github.com/dagster-io/dagster) and [kestra's repository](https://github.com/kestra-io/kestra). | | [dagster](/tools/dagster-io-dagster.md) | [kestra](/tools/kestra-io-kestra.md) | | --- | --- | --- | | Tagline | An orchestration platform for data assets | Event Driven Orchestration & Scheduling Platform for Mission Critical Applications | | Stars | 15,949 | 27,853 | | Forks | 2,232 | 2,922 | | Open issues | 2,596 | 549 | | Language | Python | Java | | Adopt for | Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. | Developed in Java, Kestra offers robust orchestration and scheduling services for mission-critical applications with support for infrastructure as code, event-driven architectures, and tight CI/CD integration. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dagster](/tools/dagster-io-dagster.md) | [kestra](/tools/kestra-io-kestra.md) | | --- | --- | --- | | Open issues (now) | 2.6k | 549 | | Stars delta | Unknown | +455 (30d) | | Open issues delta | Unknown | -5 (30d) | | Full report | [trust report](/tools/dagster-io-dagster/trust.md) | [trust report](/tools/kestra-io-kestra/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: kestra - **Requirements:** Min 2 GB RAM; Requires Docker; Requires Docker to deploy using the provided Terraform module on Google Cloud.; Strongly recommended for use in Java-based environments due to its native support. - **Adopt for:** Developed in Java, Kestra offers robust orchestration and scheduling services for mission-critical applications with support for infrastructure as code, event-driven architectures, and tight CI/CD integration. ## Choose when ### Choose dagster if… - dagster is primarily Python; kestra is Java. - Tags unique to dagster: data-orchestrator, mlops, workflow. - Also covers Data & Retrieval, Evaluation & Observability. - When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code. ### Choose kestra if… - kestra is primarily Java; dagster is Python. - Requirements: Min 2 GB RAM; Requires Docker; Requires Docker to deploy using the provided Terraform module on Google Cloud.; Strongly recommended for use in Java-based environments due to its native support.. - Tags unique to kestra: ai-agents, automation, control-plane, data-orchestration. - Also covers Developer Tools. - kestra ships Docker support for self-hosted deployment. - When you are working on mission-critical applications and need a platform that supports both infrastructure as code (IaC) and event-driven architecture. ## 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 kestra - In environments where infrastructure as code (IaC) or event-driven architecture do not align with the project requirements, as these represent core functionalities of Kestra. - For teams deeply invested in languages other than Java or looking to avoid it due to existing tech stacks and expertise. - If a lightweight solution is required, given that Kestra's robust infrastructure support and event-driven capabilities might introduce unnecessary complexity. ## Common questions ### What is the difference between dagster and kestra? dagster: An orchestration platform for data assets. kestra: Event Driven Orchestration & Scheduling Platform for Mission Critical Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose dagster over kestra? Choose dagster over kestra when dagster is primarily Python; kestra is Java; Tags unique to dagster: data-orchestrator, mlops, workflow; Also covers Data & Retrieval, Evaluation & Observability; When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code. ### When should I choose kestra over dagster? Choose kestra over dagster when kestra is primarily Java; dagster is Python; Requirements: Min 2 GB RAM; Requires Docker; Requires Docker to deploy using the provided Terraform module on Google Cloud.; Strongly recommended for use in Java-based environments due to its native support.; Tags unique to kestra: ai-agents, automation, control-plane, data-orchestration; Also covers Developer Tools; kestra ships Docker support for self-hosted deployment; When you are working on mission-critical applications and need a platform that supports both infrastructure as code (IaC) and event-driven architecture. ### 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 kestra? In environments where infrastructure as code (IaC) or event-driven architecture do not align with the project requirements, as these represent core functionalities of Kestra. For teams deeply invested in languages other than Java or looking to avoid it due to existing tech stacks and expertise. If a lightweight solution is required, given that Kestra's robust infrastructure support and event-driven capabilities might introduce unnecessary complexity. ### Is dagster or kestra more popular on GitHub? kestra has more GitHub stars (27,853 vs 15,949). Stars measure visibility, not whether either tool fits your constraints. ### Are dagster and kestra open source? Yes - both are open-source projects on GitHub (dagster: Apache-2.0, kestra: Apache-2.0). ### Where can I find alternatives to dagster or kestra? GraphCanon lists graph-backed alternatives at [dagster alternatives](/tools/dagster-io-dagster/alternatives) and [kestra alternatives](/tools/kestra-io-kestra/alternatives) ([dagster markdown twin](/tools/dagster-io-dagster/alternatives.md), [kestra markdown twin](/tools/kestra-io-kestra/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-kestra-io-kestra.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dagster or kestra? dagster: Very active. kestra: 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 kestra? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dagster trust report](/tools/dagster-io-dagster/trust); [kestra trust report](/tools/kestra-io-kestra/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/_