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PlanetScale Vitess vs Google Cloud (GCP)

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

Quick Verdict

3.8/5

PlanetScale Vitess

0 reviews

3.9/5

Google Cloud (GCP)

0 reviews

Google Cloud (GCP) is rated higher (3.9 vs 3.8). Vitess is the CNCF-graduated, MySQL-compatible database system created at YouTube in 2010. It adds transparent horizontal sharding, online schema changes and automatic failure repair around MySQL; PlanetScale is its largest commercial contributor and managed offering. Known for its data analytics and AI tooling (BigQuery, Vertex AI).

PlanetScale Vitess

PlanetScale Vitess

CNCF-graduated MySQL-compatible sharding system, born at YouTube

Google Cloud (GCP)

Google Cloud (GCP)

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

Overview
Rating3.8 (0 reviews)3.9 (0 reviews)✓
Pricing modelfreepay-as-you-go
Starting priceFreeFree tier available
Best forTeams whose MySQL-compatible dataset no longer fits one node and who want sharding without rewriting the application — self-hosting Vitess with Kubernetes experience, or buying it managed through PlanetScale.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.
Features
IPv6✓
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing✓
Free tier
Tags
Tags
free tieropen sourceself hostableapi access
free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors
Visit PlanetScale Vitess →Visit Google Cloud (GCP) →

PlanetScale Vitess

Pros

  • + Free, foundation-governed software with YouTube-scale production provenance since 2011
  • + Horizontal sharding transparent to the application, with live resharding and near-zero-downtime migrations
  • + Online, non-blocking schema changes across shards with monitoring and fine-grained controls
  • + Automatic primary failure detection and repair; point-in-time recovery without a binlog server since v18
  • + Active, healthy project — 2,159 contributors tracked by CNCF, with public nightly benchmarks

Cons

  • - Real operational burden: VTGates, VTTablets, topology store and a Kubernetes operator footprint to run yourself
  • - Foreign keys are shard-scoped only (managed mode since v18); cross-shard constraints are still future work
  • - Compatibility gaps under managed foreign keys — REPLACE INTO and INSERT ... ON DUPLICATE KEY UPDATE restricted, cyclic FKs rejected
  • - No support contract or SLA on the free software; PlanetScale is the primary paid route
  • - Massive overkill below the scale where a single MySQL node stops being enough
View full PlanetScale Vitessreview →

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
View full Google Cloud (GCP)review →

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