--- title: "dolphinscheduler vs flyte" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-dolphinscheduler-vs-flyteorg-flyte" tools: ["apache-dolphinscheduler", "flyteorg-flyte"] --- # dolphinscheduler vs flyte *GraphCanon updated Sep 20, 2026* ## Verdict Pick dolphinscheduler if apache DolphinScheduler is a modern data orchestration platform designed for efficient task dependency handling in data pipelines and provides low-code workflow creation; pick flyte if flyte is ideal for organizations that require a scalable and resilient environment to manage complex AI workflows involving data, models, and computations. [dolphinscheduler](https://dolphinscheduler.apache.org/) reports 14k GitHub stars, 5.1k forks, and 132 open issues, last pushed Sep 12, 2026. [flyte](https://flyte.org) has 7.5k stars, 888 forks, and 175 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [dolphinscheduler's repository](https://github.com/apache/dolphinscheduler) and [flyte's repository](https://github.com/flyteorg/flyte). | | [dolphinscheduler](/tools/apache-dolphinscheduler.md) | [flyte](/tools/flyteorg-flyte.md) | | --- | --- | --- | | Tagline | A modern data orchestration platform for agile workflow creation with low-code | Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. | | Stars | 14,469 | 7,530 | | Forks | 5,091 | 888 | | Open issues | 132 | 175 | | Language | Java | Go | | Adopt for | Apache DolphinScheduler is a modern data orchestration platform designed for efficient task dependency handling in data pipelines and provides low-code workflow creation. | Flyte is ideal for organizations that require a scalable and resilient environment to manage complex AI workflows involving data, models, and computations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools | AI Agents, Data & Retrieval, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dolphinscheduler](/tools/apache-dolphinscheduler.md) | [flyte](/tools/flyteorg-flyte.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 132 | 175 | | Stars delta | +57 (30d) | +381 (30d) | | Open issues delta | -5 (30d) | -24 (30d) | | Full report | [trust report](/tools/apache-dolphinscheduler/trust.md) | [trust report](/tools/flyteorg-flyte/trust.md) | ## Shared compatibility - **Python**: [dolphinscheduler](/tools/apache-dolphinscheduler.md) - Python runtime; [flyte](/tools/flyteorg-flyte.md) - Python runtime ## Decision facts: dolphinscheduler - **Adopt for:** Apache DolphinScheduler is a modern data orchestration platform designed for efficient task dependency handling in data pipelines and provides low-code workflow creation. ## Decision facts: flyte - **Adopt for:** Flyte is ideal for organizations that require a scalable and resilient environment to manage complex AI workflows involving data, models, and computations. ## Choose when ### Choose dolphinscheduler if… - dolphinscheduler is primarily Java; flyte is Go. - Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines. - You require extensive support for complex task dependencies within your data pipelines, as Dolphinscheduler is built to handle these scenarios out of the box. ### Choose flyte if… - flyte is primarily Go; dolphinscheduler is Java. - Tags unique to flyte: agentic, ai development tools, ai-agents, data-analysis. - Also covers AI Agents, Data & Retrieval, Model Training. - flyte ships Docker support for self-hosted deployment. - You need robust orchestration for deploying machine learning pipelines in production environments with dynamic scaling. ## When NOT to use dolphinscheduler - If your organization has stringent licensing constraints that restrict the use of Apache-2.0 licensed software - Your workflows are relatively simple and do not require advanced features such as versioning for both workflows and instances, multi-tenancy support or backfill capability. - You prefer a tool that is primarily script-driven over one with extensive SDKs and APIs; Dolphinscheduler emphasizes its Web UI for ease of use along with Python SDKs and Open APIs. ## When NOT to use flyte - If your organization strictly uses Python-based environments without plans to integrate Go or GRPC, Flyte's utility may be diminished. - For smaller-scale projects that do not require high levels of scalability or complexity in orchestration, using Flyte might introduce unnecessary overhead. ## Common questions ### What is the difference between dolphinscheduler and flyte? dolphinscheduler: A modern data orchestration platform for agile workflow creation with low-code. flyte: Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dolphinscheduler over flyte? Choose dolphinscheduler over flyte when dolphinscheduler is primarily Java; flyte is Go; Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines; You require extensive support for complex task dependencies within your data pipelines, as Dolphinscheduler is built to handle these scenarios out of the box. ### When should I choose flyte over dolphinscheduler? Choose flyte over dolphinscheduler when flyte is primarily Go; dolphinscheduler is Java; Tags unique to flyte: agentic, ai development tools, ai-agents, data-analysis; Also covers AI Agents, Data & Retrieval, Model Training; flyte ships Docker support for self-hosted deployment; You need robust orchestration for deploying machine learning pipelines in production environments with dynamic scaling. ### When should I avoid dolphinscheduler? If your organization has stringent licensing constraints that restrict the use of Apache-2.0 licensed software Your workflows are relatively simple and do not require advanced features such as versioning for both workflows and instances, multi-tenancy support or backfill capability. You prefer a tool that is primarily script-driven over one with extensive SDKs and APIs; Dolphinscheduler emphasizes its Web UI for ease of use along with Python SDKs and Open APIs. ### When should I avoid flyte? If your organization strictly uses Python-based environments without plans to integrate Go or GRPC, Flyte's utility may be diminished. For smaller-scale projects that do not require high levels of scalability or complexity in orchestration, using Flyte might introduce unnecessary overhead. ### Is dolphinscheduler or flyte more popular on GitHub? dolphinscheduler has more GitHub stars (14,469 vs 7,530). Stars measure visibility, not whether either tool fits your constraints. ### Are dolphinscheduler and flyte open source? Yes - both are open-source projects on GitHub (dolphinscheduler: Apache-2.0, flyte: Apache-2.0). ### Where can I find alternatives to dolphinscheduler or flyte? GraphCanon lists graph-backed alternatives at [dolphinscheduler alternatives](/tools/apache-dolphinscheduler/alternatives) and [flyte alternatives](/tools/flyteorg-flyte/alternatives) ([dolphinscheduler markdown twin](/tools/apache-dolphinscheduler/alternatives.md), [flyte markdown twin](/tools/flyteorg-flyte/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/apache-dolphinscheduler-vs-flyteorg-flyte.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dolphinscheduler or flyte? dolphinscheduler: Very active. flyte: 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 dolphinscheduler and flyte? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dolphinscheduler trust report](/tools/apache-dolphinscheduler/trust); [flyte trust report](/tools/flyteorg-flyte/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-dolphinscheduler`](/api/graphcanon/graph?tool=apache-dolphinscheduler) - 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/_