head to head · open source

airflow vs shardingsphere

airflow has 47,301 GitHub stars, 18,202 forks, 1,831 open issues and last shipped yesterday. shardingsphere has 20,818 stars, 6,907 forks, 197 open issues and last shipped yesterday. airflow leads on adoption by 127% (47,301 vs 20,818 stars). airflow is written in Python under Apache-2.0; shardingsphere is written in Java under Apache-2.0. airflow has attracted 38% as many forks as stars, shardingsphere 33%. airflow was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

airflow ★ 47K shardingsphere ★ 21K category Data & Analytics

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Side by side

airflow shardingsphere
GitHub stars ★ 47K ★ 21K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-10-28 2026-10-28
Forks ⑂ 18K ⑂ 6.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick airflow if

  • You weight community size — 47K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full airflow profile →

pick shardingsphere if

  • You want the shardingsphere feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and shardingsphere fits your workflow better

full shardingsphere profile →

About airflow

Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows (Dags) that orchestrate tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on Dags a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when…

read the full airflow overview →

About shardingsphere

Apache ShardingSphere Enterprise Distributed Database Ecosystem Building the standards and ecosystem on top of heterogeneous databases, empowering enterprise data architecture transformation Official Website: OVERVIEW Apache ShardingSphere is positioned as Database Plus , a standard and ecosystem built on top of heterogeneous databases. As an operating system layer above databases, ShardingSphere does not create new databases but focuses on maximizing the computing capabilities of existing databases, providing unified data access and enhanced computing capabilities. Database Plus Core Concept : By building a…

read the full shardingsphere overview →

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Frequently asked questions

Is airflow or shardingsphere more popular?

airflow has 47,301 GitHub stars and shardingsphere has 20,818. airflow has the larger community by that measure.

Are airflow and shardingsphere free?

Both are open source. airflow is licensed under Apache-2.0 and shardingsphere under Apache-2.0. Neither carries a licence fee.

What is the difference between airflow and shardingsphere?

airflow is written in Python and shardingsphere in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, airflow or shardingsphere?

Choose airflow if you want the larger community (47,301 stars) or its Apache-2.0 licence terms. Choose shardingsphere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.