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Comparison · Infra & APIs
Apache DolphinScheduler vs Apache Airflow
A side-by-side editorial comparison of Apache DolphinScheduler and Apache Airflow — release velocity, themes, recent moves, and the top alternatives to consider.
Apache DolphinScheduler vs Apache Airflow: at a glance
| Feature | Apache DolphinScheduler | Apache Airflow |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 2.5 | 7.5 |
| Sparks · 30d | 0 | 1 |
| Top themes | workflow-scheduler, data-engineering, apache, aws-integration | workflow orchestration, data engineering, multi-language sdks, java |
| Last editorial update | 2mo ago | 11h ago |
| Website | Visit → | Visit → |
What is Apache DolphinScheduler?
Apache DolphinScheduler adds missed fire policy and AWS EMR Serverless integration in its 3.4.x patch series.
DolphinScheduler 3.4.x is a mature data workflow scheduler on a quarterly patch cadence. Recent releases address real operational gaps: schedule missed fire policy handling (what happens when a job doesn't fire at its scheduled time), Amazon EMR Serverless as a new task plugin, configurable maximum runtime for workflow and task instances, and complement data dependency support. Security hygiene also landed — HTTP TRACE disabled, plaintext passwords removed from worker logs.
What is Apache Airflow?
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
Apache DolphinScheduler vs Apache Airflow: editorial side-by-side
Apache DolphinScheduler
2.5INFRA · APIS
Apache DolphinScheduler adds missed fire policy and AWS EMR Serverless integration in its 3.4.x patch series.
◆ Current state
DolphinScheduler 3.4.x is a mature data workflow scheduler on a quarterly patch cadence. Recent releases address real operational gaps: schedule missed fire policy handling (what happens when a job doesn't fire at its scheduled time), Amazon EMR Serverless as a new task plugin, configurable maximum runtime for workflow and task instances, and complement data dependency support. Security hygiene also landed — HTTP TRACE disabled, plaintext passwords removed from worker logs.
◆ Where it's heading
The 3.4.x series is consolidating scheduler reliability (missed fire, dispatch timeout for missing worker groups, configurable max runtime) while expanding cloud integrations (AWS EMR Serverless, with prior support for SageMaker and Kubernetes from the 3.3.0 connection center work). The pattern is incremental operational hardening rather than architectural change. The 3.3.0-alpha connection center abstraction (Zeppelin, SageMaker, K8s) is the most notable structural addition in the visible history.
◆ Prediction
Additional AWS or cloud provider task plugins are the most likely near-term additions given the EMR Serverless landing. Scheduler reliability work will continue as the missed fire policy and timeout logic get extended to more edge cases.
Apache Airflow
7.5INFRA · APIS
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
◆ Current state
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
◆ Where it's heading
Airflow 3.4 made non-Python Dags possible as an experiment; a week later the language SDKs are declared stable. The project is turning its scheduler into a runtime that teams in Java, Go and TypeScript shops can adopt without writing Python. Provider releases keep their usual batched cadence underneath.
◆ Prediction
Expect the experimental Dag Importer and Task Loops from 3.4 to move toward stable in a 3.5 release, and SDK patch releases as first production users report issues.
Alternatives to Apache DolphinScheduler and Apache Airflow
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache DolphinScheduler or Apache Airflow.
Payload CMS
Payload's v4 beta.9 keeps every past image crop and raises the Node floor again.
Nautobot
Nautobot 3.3 alpha 2 adds test helpers and a cable location filter after 3.2.9's token-leak fix.
Clair
Clair 4.10 RC can read SBOMs to match Java vulnerabilities.
Shuffle
Shuffle tags builds almost daily, but the notes are empty.
KrakenD
KrakenD's community edition is shipping only dependency bumps.
See all Apache DolphinScheduler alternatives → · See all Apache Airflow alternatives →
Recent activity from Apache DolphinScheduler and Apache Airflow
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoApache AirflowApache Airflow Go SDK 1.0.0
- 1d agoApache AirflowApache Airflow TypeScript SDK 1.0.0
- 1d agoApache AirflowApache Airflow Java SDK 1.0.0 ⚡
- 1d agoApache AirflowAmazon provider 9.40.0 final release
- 4d agoApache AirflowAmazon provider 9.40.0, second release candidate
- 4d agoApache AirflowSSH provider 7.0.2 patch release
- 2mo agoApache DolphinSchedulerRelease 3.4.3
- 5mo agoApache DolphinSchedulerRelease 3.4.2
- 8mo agoApache DolphinSchedulerRelease 3.4.1
- 1y agoApache DolphinScheduler3.3.0 alpha: connection center for Zeppelin, SageMaker, and K8s
Frequently asked questions
What is the difference between Apache DolphinScheduler and Apache Airflow?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Airflow is currently shipping more aggressively (velocity 7.5 vs 2.5), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Apache DolphinScheduler better than Apache Airflow?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Airflow is currently shipping more aggressively (velocity 7.5 vs 2.5), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to Apache DolphinScheduler?
Top Apache DolphinScheduler alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache DolphinScheduler alternatives" section above for the current picks, or visit /alternatives/dolphinscheduler for the full list with editorial commentary on each.
What are the best alternatives to Apache Airflow?
Top Apache Airflow alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache Airflow alternatives" section above for the current picks, or visit /alternatives/apache-airflow for the full list with editorial commentary on each.