AWS Lambda vs Banana
A detailed comparison to help you choose between AWS Lambda and Banana.
Quick Verdict
4.1/5
AWS Lambda
0 reviews
1.2/5
Banana
0 reviews
AWS Lambda is rated higher (4.1 vs 1.2). AWS Lambda is the original FaaS service — run code without servers. Supports 15+ runtimes, 1M free requests/month, and integrates deeply with 200+ AWS services. Triggered by S3, DynamoDB, API Gateway, and more. 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.
 AWS Lambda The original serverless functions service | Banana DEFUNCT — serverless GPU inference platform sunset Feb 2024, shut down March 31, 2024 | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (0 reviews)✓ | 1.2 (0 reviews) |
| Pricing model | freemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently) | usage-based (historical; shut down 2024-03-31) |
| Starting price | Free tier available✓ | From $2024/mo |
| Best for | AWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirely | 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 | ✓ | |
| Data-center locations | ||
| Regions | All 39 AWS regions / 124 AZs | — |
| Tags | ||
| Tags | free tierapi accessus datacentereu datacenterapac datacenter | gpu availableus datacenterapi access |
| Visit AWS Lambda → | Visit Banana → | |
AWS Lambda
Pros
- + Zero idle cost with a free tier that covers small products: 1M requests and 400,000 GB-seconds monthly
- + Graviton pricing at $0.0000133334 per GB-second undercuts x86 by roughly 20%
- + Automatic multi-AZ scaling with a 99.95% per-region SLA and no capacity planning
- + Deep event integration across AWS services, with three form factors (Event/Web Functions, MicroVMs)
Cons
- - Per-request and GB-second pricing gets expensive against committed compute at steady high utilization
- - Cold starts — hundreds of milliseconds to seconds depending on runtime — with provisioned concurrency as an extra meter
- - 15-minute execution limit and payload caps make it wrong for long-running batch work
- - AWS-specific event plumbing creates real lock-in; distributed event chains are hard to debug
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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