Mergify vs Aviator
Aviator sells its merge queue next to a review inbox, AI code verification, and release tooling. Mergify is built around the path from approval to main, with CI Insights, Test Insights, and Merge Protections in the same plan as the queue.
Feature comparison
Aviator
Mergify
Speculative checks
CI batching with bisect-on-failure
Merge when a later batch proves an earlier failure was flaky
Two-step CI
Monorepo lanes from your build graph (Bazel, Nx, Turborepo, Pants)
PR priorities
Queue pause
Scheduled freeze with exceptions (e.g. hotfixes)
Flaky test detection + quarantine
Custom merge conditions (rule engine)
Queue analytics
Monitoring integrations (Datadog)
Slack notifications
CI Insights (job health, auto-retry)
Queue event log
AI code verification
Billing by active contributors only
Fast-forward merge
On-premise deployment
Feature comparison
Aviator
Mergify
Speculative checks
CI batching with bisect-on-failure
Merge when a later batch proves an earlier failure was flaky
Two-step CI
Monorepo lanes from your build graph (Bazel, Nx, Turborepo, Pants)
PR priorities
Queue pause
Scheduled freeze with exceptions (e.g. hotfixes)
Flaky test detection + quarantine
Custom merge conditions (rule engine)
Queue analytics
Monitoring integrations (Datadog)
Slack notifications
CI Insights (job health, auto-retry)
Queue event log
AI code verification
Billing by active contributors only
Fast-forward merge
On-premise deployment
Used by the platform teams that ship fast and keep CI green
More than a merge queue
On Aviator, the queue starts on the Team plan and monorepo lanes on Scale. Mergify includes the queue, CI observability, test intelligence, and merge governance in every plan.
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's queue covers the basics well. These are the differences teams run into as the repository grows.
Monorepo lanes cost extra
Affected targets, Aviator's monorepo-aware queue, is on the Scale plan at $50 per developer per month. Mergify's scopes are on the Free and Max plans.
A failure resets the queue
In Aviator's parallel mode, a failing draft PR is removed and every draft behind it is closed and re-validated. In Mergify's parallel mode, only batches that share a scope are chained, so a failure in one lane leaves the others running.
Freezes are cron rules
Aviator can pause and unpause the queue on a cron schedule. Mergify's scheduled freezes take exceptions, so a pull request labelled hotfix can still merge while everything else waits.
Merge conditions from a fixed list
Aviator's pre-queue conditions cover approvals, required checks, resolved conversations, and a regex on the title and body. Mergify's rule engine combines labels, files, authors, and time windows however you need.
No test-level flaky detection
Aviator handles flaky failures inside the queue. Knowing which test is flaky, how often, and quarantining it is Test Insights, which every Mergify plan includes.
Audit log on Enterprise only
Aviator's audit log is an Enterprise feature and records configuration changes. Queue activity lives on each PR's timeline. Mergify keeps a queue-wide event log.
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 on its Team plan at $20 per developer per month, and the monorepo-aware queue needs Scale at $50. Mergify Max is $21 per active contributor per month, with scopes, CI Insights, Test Insights, and Merge Protections included.
Mergify is free for up to 5 active contributors on private repos, merge queue included. Aviator's free plan does not include the merge queue.
Real teams, real results
Engineering teams we helped merge faster, safer, and cheaper
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