Google Cloud Functions vs Banana
A detailed comparison to help you choose between Google Cloud Functions and Banana.
Quick Verdict
3.9/5
Google Cloud Functions
0 reviews
1.2/5
Banana
0 reviews
Google Cloud Functions is rated higher (3.9 vs 1.2). Google Cloud Functions is GCP's serverless compute. HTTP-triggered or event-driven. 2M free invocations/month. Node.js, Python, Go, Java, Ruby, PHP, and .NET supported. Deep integration with Firebase. 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.
Google Cloud Functions Serverless functions on Google infrastructure | 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 | GCP and Firebase developers running event-driven workloads who want per-100ms billing and no servers to manage | 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 tierapi accessus datacentereu datacenterapac datacenter | gpu availableus datacenterapi access |
| Visit Google Cloud Functions → | Visit Banana → | |
Google Cloud Functions
Pros
- + 2 million free invocations per month, permanently, per billing account
- + Published 99.95% uptime SLA with 10/25/50% financial credits
- + 2nd gen on Cloud Run infrastructure: concurrency, Eventarc triggers, traffic splitting, GPU access
- + First-class Firebase, Pub/Sub, Cloud Storage, and Secret Manager integration
Cons
- - GCP lock-in: events, IAM, and deployment are Google Cloud objects
- - Gen 1 / gen 2 split means two pricing models and two capability levels in one product
- - Costs scale with abuse and bugs — every failed invocation is billed, no per-function spend cap
- - Container image storage (Artifact Registry) bills separately even within the free tier
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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