Inngest vs Banana
A detailed comparison to help you choose between Inngest and Banana.
Quick Verdict
3.9/5
Inngest
0 reviews
1.2/5
Banana
0 reviews
Inngest is rated higher (3.9 vs 1.2). Inngest is a developer platform for building reliable event-driven background functions. Automatic retries, delays, fan-out, and step functions. Works with Next.js, Node.js, Go, and Python. Banana was an ML inference hosting platform (Docker-based, Potassium framework). The service shut down permanently on March 31, 2024; do not purchase. Alternatives: Replicate, Modal, RunPod, Beam, Baseten.
Inngest Event-driven functions with automatic retries | Banana DEFUNCT — serverless GPU inference platform sunset Feb 2024, shut down March 31, 2024 | |
|---|---|---|
| Overview | ||
| Rating | 3.9 (0 reviews)✓ | 1.2 (0 reviews) |
| Pricing model | freemium | usage-based (historical; shut down 2024-03-31) |
| Starting price | Free tier available✓ | From $2024/mo |
| Best for | Full-stack and product developers adding reliable background jobs, webhooks, scheduled tasks, or multi-step AI agent workflows to existing apps without building queue infrastructure | Nobody — the platform shut down on March 31, 2024. Use Replicate, Modal, RunPod, Beam, or Baseten for serverless GPU inference. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Tags | ||
| Tags | free tieropen sourceapi access | gpu availableus datacenterapi access |
| Visit Inngest → | Visit Banana → | |
Inngest
Pros
- + Real free tier ($0, no card, 50k executions) that pauses at quota instead of billing overage
- + Durable execution without operating queues, brokers, or worker fleets — code stays on your infra
- + Open-source, self-hostable server as an exit path from vendor lock-in
- + Strong SDK coverage (TypeScript, Python, Go, Kotlin) and developer tooling (dev server, replay, traces)
- + Per-run economics are excellent at volume on Pro ($99/mo for 1M executions)
Cons
- - Execution billing counts every step (runs x steps+1), so step-heavy workflows burn quota fast
- - Steep free-to-Pro jump to $99/mo once free caps (5 concurrent steps, 24h traces) bite
- - No published uptime SLA below enterprise agreements
- - Not infrastructure — you still need somewhere to run your code
- - Plan walls on workspaces, apps, and trace retention push growing teams upward quickly
Banana
Pros
- + Historical: developer-friendly Docker/Potassium deployment with scale-to-zero GPU autoscaling
- + Historical: per-second GPU billing with no charge while idle
- + Historical: warm pools and model caching reduced cold starts for popular models
- + The founder published an unusually candid shutdown account and migration guidance
Cons
- - Permanently shut down on March 31, 2024 — the service cannot be purchased or used
- - Pricing was opaque even while alive ($1,200/month Team tier, per-GPU costs unpublished)
- - No published uptime SLA and no independent benchmarks
- - Startup platform risk realized: GPU economics forced closure within two months' notice
- - Third-party listings of its pricing and features conflict and cannot be verified against a live product
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