--- title: "yunikorn-core vs genie" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-yunikorn-core-vs-netflix-genie" tools: ["apache-yunikorn-core", "netflix-genie"] --- # yunikorn-core vs genie *GraphCanon updated Aug 11, 2026* ## Verdict Pick yunikorn-core when yunikorn-core is primarily Go; genie is Java; pick genie when genie is primarily Java; yunikorn-core is Go. [yunikorn-core](https://yunikorn.apache.org/) reports 1.0k GitHub stars, 279 forks, and 12 open issues, last pushed Aug 3, 2026. [genie](https://netflix.github.io/genie) has 1.8k stars, 374 forks, and 19 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [yunikorn-core's repository](https://github.com/apache/yunikorn-core) and [genie's repository](https://github.com/Netflix/genie). | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [genie](/tools/netflix-genie.md) | | --- | --- | --- | | Tagline | Universal resource scheduler for container orchestrator systems | Federated Big Data orchestration and execution engine | | Stars | 1,023 | 1,766 | | Forks | 279 | 374 | | Open issues | 12 | 19 | | Language | Go | Java | | Adopt for | - | Netflix Genie simplifies big data processing by automating job execution and dependency management. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [genie](/tools/netflix-genie.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 28d | | Open issues (now) | 12 | 19 | | Full report | [trust report](/tools/apache-yunikorn-core/trust.md) | [trust report](/tools/netflix-genie/trust.md) | ## Decision facts: yunikorn-core - **Pricing:** freemium - yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration. - **Requirements:** Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture. ## Decision facts: genie - **Adopt for:** Netflix Genie simplifies big data processing by automating job execution and dependency management. ## Choose when ### Choose yunikorn-core if… - yunikorn-core is primarily Go; genie is Java. - Pricing: yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration.. - Requirements: Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture.. - Tags unique to yunikorn-core: apache-yarn, go, kubernetes. - Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### Choose genie if… - genie is primarily Java; yunikorn-core is Go. - Tags unique to genie: big-data, cloud, configuration-management, distributed-systems. - When you need to streamline the process of running big data jobs such as Hive or Spark without worrying about manual configuration ## When NOT to use yunikorn-core - Avoid yunikorn-core when your orchestrator system is not compatible with universal resource schedulers designed for container orchestration. - Do not use if the project strictly requires scheduler solutions that are deeply integrated with a specific orchestrator, as YuniKorn's core remains agnostic to underlying resource managers. ## When NOT to use genie - For situations where users prefer to maintain full control over job configurations and execution, as Genie abstracts these details away from the user - If integrating with non-Netflix OSS tools is a requirement, since Genie integrates well with Netflix's ecosystem but may not offer the same level of support for external systems ## Common questions ### What is the difference between yunikorn-core and genie? yunikorn-core: Universal resource scheduler for container orchestrator systems. genie: Federated Big Data orchestration and execution engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose yunikorn-core over genie? Choose yunikorn-core over genie when yunikorn-core is primarily Go; genie is Java; Pricing: yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration.; Requirements: Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture.; Tags unique to yunikorn-core: apache-yarn, go, kubernetes; Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### When should I choose genie over yunikorn-core? Choose genie over yunikorn-core when genie is primarily Java; yunikorn-core is Go; Tags unique to genie: big-data, cloud, configuration-management, distributed-systems; When you need to streamline the process of running big data jobs such as Hive or Spark without worrying about manual configuration. ### When should I avoid yunikorn-core? Avoid yunikorn-core when your orchestrator system is not compatible with universal resource schedulers designed for container orchestration. Do not use if the project strictly requires scheduler solutions that are deeply integrated with a specific orchestrator, as YuniKorn's core remains agnostic to underlying resource managers. ### When should I avoid genie? For situations where users prefer to maintain full control over job configurations and execution, as Genie abstracts these details away from the user If integrating with non-Netflix OSS tools is a requirement, since Genie integrates well with Netflix's ecosystem but may not offer the same level of support for external systems ### Is yunikorn-core or genie more popular on GitHub? genie has more GitHub stars (1,766 vs 1,023). Stars measure visibility, not whether either tool fits your constraints. ### Are yunikorn-core and genie open source? Yes - both are open-source projects on GitHub (yunikorn-core: Apache-2.0, genie: Apache-2.0). ### Where can I find alternatives to yunikorn-core or genie? GraphCanon lists graph-backed alternatives at [yunikorn-core alternatives](/tools/apache-yunikorn-core/alternatives) and [genie alternatives](/tools/netflix-genie/alternatives) ([yunikorn-core markdown twin](/tools/apache-yunikorn-core/alternatives.md), [genie markdown twin](/tools/netflix-genie/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-yunikorn-core-vs-netflix-genie.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, yunikorn-core or genie? yunikorn-core: Very active. genie: 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 yunikorn-core and genie? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yunikorn-core trust report](/tools/apache-yunikorn-core/trust); [genie trust report](/tools/netflix-genie/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-yunikorn-core`](/api/graphcanon/graph?tool=apache-yunikorn-core) - 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/_