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Neon vs Google Cloud (GCP)

A detailed comparison to help you choose between Neon and Google Cloud (GCP).

Quick Verdict

4.6/5

Neon

305 reviews

3.6/5

Google Cloud (GCP)

345 reviews

Neon is rated higher (4.6 vs 3.6). Neon is serverless PostgreSQL with database branching, scale-to-zero, and connection pooling. Scales to zero when not in use — no idle charges. Google Cloud Platform offers Compute Engine VMs, GKE, Cloud Run serverless, BigQuery, and AI/ML services. Known for best-in-class data analytics and AI tools. Sustained use discounts auto-apply.

Neon

Neon

Serverless Postgres with branching and scale-to-zero

Google Cloud (GCP)

Google Cloud (GCP)

Google's cloud — AI/ML and data analytics focus

Overview
Rating4.6 (305 reviews)3.6 (345 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forDevelopers using Next.js or serverless frameworks who want Postgres with branching at zero idle costData and AI/ML teams who need Google's TPUs, Vertex AI, and BigQuery for data-intensive workloads
Specifications (entry plan)
CPU cores0 vCPU
RAM0 GB
Storage0 GB
Bandwidth0 TB/mo
SLA uptime99.9%
Data-center count8
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Data-center locations
Regions
United StatesEuropean Union
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 — no charges for idle databases
  • + Database branching for preview environments
  • + Generous free tier — 10 projects

Cons

  • - Cold start latency when scaled to zero
  • - Less mature than managed RDS for mission-critical
View full Neonreview →

Google Cloud (GCP)

Pros

  • + Best AI/ML services — Vertex AI, TPUs
  • + Sustained use discounts apply automatically
  • + BigQuery for large-scale analytics

Cons

  • - Complex pricing — sustained use discounts confuse billing
  • - Less mature enterprise support vs AWS
View full Google Cloud (GCP)review →

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