YugabyteDB vs Google Cloud (GCP)
A detailed comparison to help you choose between YugabyteDB and Google Cloud (GCP).
Quick Verdict
4.0/5
YugabyteDB
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
YugabyteDB is rated higher (4.0 vs 3.9). YugabyteDB is a cloud-native distributed PostgreSQL-compatible database designed for global, highly available applications. Active-active geo-distribution, ACID transactions, and auto-sharding. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
YugabyteDB Distributed SQL database built for global applications | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | freemium | pay-as-you-go |
| Starting price | From $125/mo | Free tier available✓ |
| Best for | Teams with concrete multi-zone or multi-region requirements who want Postgres semantics, a published SLA, and an open-source core they can self-host as an exit path | 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 | 2 vCPU | — |
| RAM | 4 GB | — |
| Storage | 10 GB | — |
| Bandwidth | — | — |
| SLA uptime | 99.99%✓ | 99.9% |
| Data-center count | — | 43 |
| €/vCPU/mo | €62.50 | — |
| €/GB RAM/mo | €31.25 | — |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | AWS/Azure/GCP regions across US, EU and APAC | — |
| Tags | ||
| Tags | free tieropen sourcemanaged optioneu datacenterus datacenterapac datacenterapi access | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit YugabyteDB → | Visit Google Cloud (GCP) → | |
YugabyteDB
Pros
- + Apache 2.0 open core you can self-host without revenue caps or telemetry — real exit option
- + Postgres-compatible SQL with ACID across zones and regions, automatic sharding and failover
- + Published 99.99% SLA with a concrete service-credit table
- + One price model across AWS, Azure, GCP and BYOC; 24/7 support on every paid tier
- + Migration tooling (Voyager) and Terraform/CLI/API automation included, not upsold
Cons
- - Premium pricing: a 3-node/6-vCPU production cluster runs ~$750/month before storage, and PITR is a $25/vCPU/month add-on on Professional
- - Distributed-systems complexity remains even when managed — consistency modes and region placement need real understanding
- - PostgreSQL-compatible, not PostgreSQL-complete; extension and edge-case behaviour gaps exist
- - Free Sandbox is evaluation-only (1 node, 15 connections, deleted after 15 inactive days)
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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