← Back to home
Comparison · Infra & APIs

Trunk vs Hatchet

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

Trunk vs Hatchet: at a glance

FeatureTrunkHatchet
SectorInfra & APIsInfra & APIs
Velocity score0.06.3
Sparks · 30d00
Top themesci-cd, merge-queue, flaky-tests, developer-toolsdurable-execution, reliability, sdks, sandboxes
Last editorial update4mo ago14h ago
WebsiteVisit →Visit →

What is Trunk?

Trunk is methodically maturing Merge Queue and Flaky Tests into enterprise-grade CI infrastructure.

Trunk's recent work is almost entirely incremental hardening of its two core products: Merge Queue and Flaky Tests. The cadence shows a clear enterprise-readiness pattern — a Terraform provider, public API endpoints, Prometheus-compatible metrics, multiple queues per repo, and deeper Slack and Jira integration. Nothing here redefines the product; it's the steady filling-in of operational and integration gaps larger teams require.

Read the full Trunk trajectory →

What is Hatchet?

Hatchet chases DAG crash loops through three engine patches in a day.

Hatchet added sandboxes, Labs switches and cloud MFA in early November. The week since has been engine reliability: v0.120.3 batches DAG step triggers, v0.120.4 fixes stranded match rows and prunes database partitions before locking, and v0.120.5 removes another cause of DAG crash loops. Python SDK 1.46.0 makes it easier to unit-test tasks and passes failures to cleanup dependencies.

Read the full Hatchet trajectory →

Trunk vs Hatchet: editorial side-by-side

T
Trunk
INFRA · APIS
0.0

Trunk is methodically maturing Merge Queue and Flaky Tests into enterprise-grade CI infrastructure.

◆ Current state

Trunk's recent work is almost entirely incremental hardening of its two core products: Merge Queue and Flaky Tests. The cadence shows a clear enterprise-readiness pattern — a Terraform provider, public API endpoints, Prometheus-compatible metrics, multiple queues per repo, and deeper Slack and Jira integration. Nothing here redefines the product; it's the steady filling-in of operational and integration gaps larger teams require.

◆ Where it's heading

Trunk is making Merge Queue programmable and observable: APIs, IaC, metrics endpoints, and richer dashboards point at customers who manage CI at scale and want it wired into their existing tooling. Flaky Tests is gaining automation hooks (Jira issue creation, configurable threshold monitors) that move it from detection toward workflow.

◆ Prediction

Expect continued API, metrics, and integration depth on Merge Queue, and more automated remediation paths for Flaky Tests, as Trunk leans into programmability for larger engineering orgs.

H
Hatchet
INFRA · APIS
6.3

Hatchet chases DAG crash loops through three engine patches in a day.

◆ Current state

Hatchet added sandboxes, Labs switches and cloud MFA in early November. The week since has been engine reliability: v0.120.3 batches DAG step triggers, v0.120.4 fixes stranded match rows and prunes database partitions before locking, and v0.120.5 removes another cause of DAG crash loops. Python SDK 1.46.0 makes it easier to unit-test tasks and passes failures to cleanup dependencies.

◆ Where it's heading

After a burst of features, Hatchet is tuning the engine under load: fewer locks, batched triggers and crash-loop fixes. The SDKs are getting testing and correctness work to match.

◆ Prediction

Expect more v0.120.x patches on DAG handling, then a sandbox package out of release candidate.

Alternatives to Trunk 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 Trunk or Hatchet.

See all Trunk alternatives → · See all Hatchet alternatives →

Recent activity from Trunk and Hatchet

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

  1. 16h agoHatchetHatchet v0.120.5 fixes another DAG crash loop
  2. 16h agoHatchetPython SDK 1.46.0
  3. 19h agoHatchetHatchet v0.120.4 fixes stranded match rows
  4. 21h agoHatchetv0.120.4 alpha prunes partitions before locking
  5. 1d agoHatchetHatchet sandbox package 0.1.5 release candidate
  6. 1d agoHatchetHatchet v0.120.3 batches DAG step triggers
  7. 6mo agoTrunkMerge Queue: Drill Down Into Merge Metrics
  8. 7mo agoTrunkMerge Queue: Terraform Provider
  9. 7mo agoTrunkFlaky Tests: Automatically Create Jira Issues from Webhooks
  10. 7mo agoTrunkMerge Queue: Testing Details API Now Includes Impacted Target Information
  11. 7mo agoTrunkMerge Queue: Slack App Home Tab
  12. 7mo agoTrunkMerge Queue: Multiple Queues Per Repo with Grouped Selector

Frequently asked questions

What is the difference between Trunk and Hatchet?

They serve adjacent needs but don't currently overlap on shipped themes. Hatchet is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 Trunk 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 0.0), 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 Trunk?

Top Trunk alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Trunk alternatives" section above for the current picks, or visit /alternatives/trunk 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.