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Comparison · Infra & APIs

Apache DolphinScheduler vs Hatchet

A side-by-side editorial comparison of Apache DolphinScheduler and Hatchet — release velocity, themes, recent moves, and the top alternatives to consider.

Apache DolphinScheduler vs Hatchet: at a glance

FeatureApache DolphinSchedulerHatchet
SectorInfra & APIsInfra & APIs
Velocity score2.56.3
Sparks · 30d00
Top themesworkflow-scheduler, data-engineering, apache, aws-integrationdurable execution, serverless, task queues, rate limiting
Last editorial update1mo ago15h ago
WebsiteVisit →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.

Read the full Apache DolphinScheduler trajectory →

What is Hatchet?

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

Read the full Hatchet trajectory →

Apache DolphinScheduler vs Hatchet: editorial side-by-side

A2.5

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.

H
Hatchet
INFRA · APIS
6.3

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

◆ Current state

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

◆ Where it's heading

Until now, running Hatchet meant running long-lived workers. The serverless package removes that requirement, so durable execution can run where JavaScript teams already deploy. The engine work points the same way: rate limits declared in the spec, safer worker acks, cheaper status queries. Patch cadence is still very high, often several engine tags a day, and much of it fixes durable-task edge cases.

◆ Prediction

Expect quick 0.1.x serverless releases as early users hit edge cases on each platform, and possibly matching Python handlers. More engine patches on durable-task shutdown and replay are likely.

Alternatives to Apache DolphinScheduler and Hatchet

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 Hatchet.

See all Apache DolphinScheduler alternatives → · See all Hatchet alternatives →

Recent activity from Apache DolphinScheduler and Hatchet

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 21h agoHatchetHatchet v0.115.0: contributor list update, no product notes
  2. 23h agoHatchetHatchet v0.114.15 fixes migration deadlocks
  3. 1d agoHatchetHatchet v0.114.14 builds its own continuous aggregates
  4. 1d agoHatchetHatchet v0.114.13 quiets noisy DAG operator errors
  5. 1d agoHatchetPython SDK 1.43.2 parses 429 rate-limit errors
  6. 1d agoHatchetHatchet v0.114.12 adds a Concurrency dashboard page
  7. 1mo agoApache DolphinSchedulerRelease 3.4.3
  8. 4mo agoApache DolphinSchedulerRelease 3.4.2
  9. 7mo agoApache DolphinSchedulerRelease 3.4.1
  10. 1y agoApache DolphinScheduler3.3.0 alpha: connection center for Zeppelin, SageMaker, and K8s

Frequently asked questions

What is the difference between Apache DolphinScheduler and Hatchet?

They serve adjacent needs but don't currently overlap on shipped themes. Hatchet is currently shipping more aggressively (velocity 6.3 vs 2.5), with 0 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 Hatchet?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatchet is currently shipping more aggressively (velocity 6.3 vs 2.5), with 0 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 Hatchet?

Top Hatchet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Hatchet alternatives" section above for the current picks, or visit /alternatives/hatchet for the full list with editorial commentary on each.