PlanetScale (Vitess MySQL) vs. DigitalOcean App Platform & Droplets — Interactive Cost & Performance Calculator
Compare PlanetScale (Vitess MySQL) vs DigitalOcean App Platform & Droplets side-by-side. Use our interactive calculator to estimate exact monthly costs, savings, and performance trade-offs at your scale.
PlanetScale (Vitess MySQL)
Best for: Horizontal MySQL sharding & zero-downtime migrations
DigitalOcean App Platform & Droplets
Best for: Predictable flat-rate Linux VMs, Managed Postgres & Kubernetes
Side-by-Side Technical & Commercial Breakdown: PlanetScale (Vitess MySQL) vs. DigitalOcean App Platform & Droplets
| Dimension | PlanetScale (Vitess MySQL) | DigitalOcean App Platform & Droplets |
|---|---|---|
| Platform Provider | PlanetScale | DigitalOcean |
| Base Monthly Plan | $39/mo | $6/mo |
| Compute Rate (per 1M reqs) | $0.15 | $0.08 |
| Storage / Bandwidth (per GB) | $0.250/GB | $0.020/GB |
| Typical Cold Start | 0 ms (Clustered) | 0 ms (Dedicated VPS / Containers) |
| Included Free Tier | Enterprise trial | $200 Free Credit for 60 Days + 1TB bandwidth |
| Best Use Case | Horizontal MySQL sharding & zero-downtime migrations | Predictable flat-rate Linux VMs, Managed Postgres & Kubernetes |
Frequently Asked Questions
Which is more cost-effective in 2026: PlanetScale (Vitess MySQL) or DigitalOcean App Platform & Droplets?
It depends on your workload volume. Use the interactive sliders above to model your exact monthly scale. PlanetScale (Vitess MySQL) (Horizontal MySQL sharding & zero-downtime migrations) and DigitalOcean App Platform & Droplets (Predictable flat-rate Linux VMs, Managed Postgres & Kubernetes) have different unit economics that cross over as volume scales.
When should an engineering team choose PlanetScale (Vitess MySQL) over DigitalOcean App Platform & Droplets?
Choose PlanetScale (Vitess MySQL) when your primary priority is: Horizontal MySQL sharding & zero-downtime migrations. Choose DigitalOcean App Platform & Droplets when you prioritize: Predictable flat-rate Linux VMs, Managed Postgres & Kubernetes.