Apache DolphinScheduler
Distributed workflow scheduler for big-data pipelines, originated at Analysys (易观); Apache TLP.
Our Verdict
Serious Airflow alternative for big-data shops, held back by smaller English-speaking community.
Pros
- True distributed scheduler, not just a UI over cron
- Drag-and-drop DAG editor for non-coders
- Supports Spark, Flink, Hive, DataX natively
- Apache TLP with active Chinese contributor base
Cons
- Docs and community skew heavily to Chinese
- English support lags behind Airflow ecosystem
- Fewer third-party operators than Airflow
- Cloud-native deployment less polished than Dagster
Best for: Big-data teams running Spark/Flink who want visual DAG authoring
Not for: Python-first data teams deeply invested in the Airflow ecosystem
When to Use Apache DolphinScheduler
Good fit if you need
- Orchestrating multi-engine big data DAGs (Spark, Flink, Hive)
- Scheduling thousands of interdependent ETL tasks visually
- Replacing Airflow for teams needing Chinese ecosystem support
- Distributed workflow scheduling across large compute clusters
- Managing data pipeline retries and SLA monitoring at scale
Lock-in Assessment
Low 5/5
Lock-in Score 5/5
Pricing
Price wrong?Apache DolphinScheduler Pricing
- Pricing Model
- free
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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