Neon vs Google Cloud (GCP)
A detailed comparison to help you choose between Neon and Google Cloud (GCP).
Quick Verdict
4.1/5
Neon
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Neon is rated higher (4.1 vs 3.9). Neon is serverless PostgreSQL with database branching, scale-to-zero, and connection pooling. Scales to zero when not in use — no idle charges. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
Neon Serverless Postgres with branching and scale-to-zero | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | freemium | pay-as-you-go |
| Starting price | Free tier available | Free tier available |
| Best for | Developers on serverless stacks and teams that want a Postgres branch per pull request with zero idle cost | Data- and ML-centric teams already building on BigQuery, GKE, or Vertex AI, and workloads that need a published multi-zone SLA or data residency in one of 43 regions. |
| Specifications (entry plan) | ||
| CPU cores | — | — |
| RAM | — | — |
| Storage | 1 GB | — |
| Bandwidth | 0 TB/mo | — |
| SLA uptime | — | 99.9% |
| Data-center count | 8 | 43✓ |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | United States, European Union, United Kingdom, Asia Pacific, South America | — |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Neon → | Visit Google Cloud (GCP) → | |
Neon
Pros
- + Scale-to-zero means idle databases cost nothing — Free plan compute suspends after 5 minutes
- + Copy-on-write branching gives real per-PR preview databases at near-zero marginal cost
- + Unit pricing is published openly ($0.106/CU-hour Launch, $0.35/GB-month storage) with no overage cliffs
- + Generous free tier: 100 projects, 100 CU-hours each, 1 GB storage per project
- + Multi-AZ storage, read replicas, connection pooling, and Postgres extensions included on all plans
Cons
- - Cold starts of a few hundred milliseconds after suspend on latency-sensitive traffic
- - Usage-based billing has no fixed monthly cap unless you set one yourself
- - Uptime SLA only on the Scale plan, and the percentage is not published on the pricing page
- - Region is fixed at project creation — relocation requires migration to a new project
- - Newer services (Functions, Object Storage, AI Gateway) roll out region by region
Google Cloud (GCP)
Pros
- + Best published SLA set in the comparison: 99.99% multi-zone, 99.9% single-instance
- + 43 regions and 130 zones with per-region price variance you can trade against latency
- + Per-second billing and three discount levers — Spot up to 91% off, commitments up to 55–70%
- + Live migration through host maintenance; deep integration with GKE, BigQuery, Vertex AI
- + Real free entry: $300 trial credit that never auto-charges, plus an Always Free e2-micro VM
Cons
- - Poor price-performance for plain VMs versus European VPS specialists; no bundled transfer
- - Egress is expensive ($0.12/GiB Premium) and billed as a separate line item
- - Sustained use discounts don't apply to E2 and N4 — the families entry buyers choose
- - Budgets alert but don't cap Compute Engine spend; human support costs from $29/month
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