Mergify vs Aviator
Both handle merge queues well. The difference is what comes with it: CI observability, merge governance, multi-CI support, and a rule engine that adapts to your workflow.
Feature comparison
Aviator
Mergify
Speculative checks
CI batching with bisect-on-failure
Two-step CI
Monorepo / scope-aware batching
PR priorities
Queue pause
Queue freeze (scheduled)
Auto-retry on CI failure
Custom merge conditions (rule engine)
Queue stats dashboard
Monitoring integrations (Datadog)
CI Insights (flaky detection, job health)
Slack notifications (CI + queue activity)
Full event log
PR summary reports (GitHub comments)
Merge Protections (freezes, dependencies)
Billing by active contributors only
Fast-forward merge
On-premise deployment
Trusted by the best engineering teams
From fast-moving startups to well-known enterprises
More than a merge queue
Aviator sells a merge queue. Mergify includes merge queue, CI observability, and merge governance in every plan. Here's what that means in practice.
Evaluating merge queue tools?
We'll walk you through how Mergify compares for your specific setup. No pitch, just answers.
Early on, as the team, tests, and CI complexity grew, it was quite clear that we needed an automated tool to resolve bottlenecks. Our team loves the way Mergify solved our growing pains.
Tomasz Biernacki
Quality Assurance Engineer at Pitch
What Aviator doesn't cover
Aviator focuses on the merge queue. These are the gaps teams notice when they need more.
No scheduled freeze windows
Aviator can pause the queue via API, but has no scheduled freeze windows for releases, holidays, maintenance periods, or deploy cycles.
No Merge Protections
Aviator handles merge queues but has no equivalent to Merge Protections for PR dependencies, scheduled merges, time-based rules, or cross-repo coordination.
Basic merge rules
Aviator supports conditional checks, but lacks the full YAML rule engine Mergify offers for matching on labels, files, authors, and time windows.
No Datadog integration
No way to pipe queue metrics into your existing monitoring stack. Mergify integrates with Datadog for alerting on queue health.
Parallel mode resets
In Aviator's parallel mode, if one PR fails, all subsequent PRs in the queue must be re-validated from scratch.
No event log or audit trail
No full event log for queue activity. Mergify logs every queue event so you can trace what happened and why.
Mergify is a no-brainer. If you want to have your main branch always working then you have to introduce some merge queue functionality.
Paco Sevilla
DevOps Engineer at DeepDrive
The pricing question
Aviator's merge queue starts at $12/user/month. Mergify starts at $21/user/month, but that includes CI Insights and Merge Protections in every plan. The $21 gets you a merge queue, CI observability, merge governance, and Datadog integration. Aviator charges $12 for the merge queue alone.
Both offer free tiers for small teams. Mergify is free for up to 5 users on private repos. Aviator is free for up to 15 users (merge queue only).
Real teams, real results
Engineering teams we helped merge faster, safer, and cheaper
Try the complete CI platform
Merge queue, CI insights, and merge protections. All included, up to 5 users free.