Inngest vs GitHub Actions

Inngest

GitHub Actions

Inngest · 14 features

• AgentKit — Build AI agents as durable Inngest functions.
• Auto Retries — Configurable retries with exponential backoff.
• Concurrency Controls — Per-function and per-user concurrency limits.
• Cron Triggers — Scheduled functions via cron syntax.
• Debounce — Coalesce rapid-fire events into one execution.
• Dev Server — Local Inngest runtime for dev.
• Durable Steps — step.run, step.sleep, step.waitForEvent.
• Event System — Typed events with schemas.
• Fan Out / Batching — Process many events in parallel with batch control.
• Priority Lanes — Route premium customers to faster execution.
• Rate Limiting — Throttle events per key.
• Realtime — Stream function output to clients.
• Replay — Re-run past functions with new code.
• Self-Host — OSS runtime — run your own Inngest.

GitHub Actions · 18 features

• Actions Cache — Persistent cache across runs.
• Actions Marketplace — 20K+ reusable actions.
• ARC (K8s Controller) — Autoscale self-hosted on K8s.
• Artifacts — Upload/download job outputs.
• Composite Actions — Actions made of other actions.
• Concurrency Groups — Cancel / queue overlapping runs.
• Container Jobs — Run a whole job in a Docker image.
• Environments + Approvals — Gate deploys with manual approval.
• Job Summaries — Markdown summaries in UI.
• Larger Runners — 4-64 vCPU, ARM, GPU.
• Matrix Strategy — Fan out over axes.
• OIDC Cloud Auth — Exchange JWT for cloud credentials.
• Reusable Workflows — workflow_call.
• Secrets + Variables — Encrypted org/repo/env secrets.
• Self-Hosted Runners — Your own runners.
• Service Containers — Sidecar containers (DBs, Redis) per job.
• Triggers — push, pull_request, schedule, workflow_dispatch, etc.
• Workflows — Event-driven YAML workflows.