PlanetScale vs RDS

Managed MySQL.

Overview

PlanetScale and AWS RDS for MySQL are two leading managed-MySQL options with very different scaling models. PlanetScale is Vitess-backed (horizontal sharding, branching for schema migrations, serverless scaling); RDS is the AWS-native option (vertical scaling within an instance, multi-AZ replicas, tight AWS integration). The right answer depends on whether horizontal-sharding scale or AWS-native simplicity matters more.

• PlanetScale: Vitess plus branching. Horizontal sharding, branching workflow for schema migrations, serverless scaling. Default when scale or schema-migration ergonomics matter.
• RDS: AWS-native MySQL. Vertical scaling, multi-AZ replicas, tight integration with VPC/IAM/CloudWatch. Default for AWS-only stacks.
• Operational fit per team. Existing AWS investment biases toward RDS; teams hitting MySQL scaling walls bias toward PlanetScale.
• Per-database choice. Different databases may pick differently. Document the rationale per database.

The approach

Workload-driven choice, per-team operational fit considered, documented rationale per database. The discipline is making the managed-MySQL choice once with a written reason rather than running both platforms for the same workload.

• Workload-driven. MySQL per database. Reality drives the answer.
• PlanetScale for sharding plus branching. Workloads outgrowing single-instance MySQL, teams that value branch-based schema migrations.
• RDS for AWS-native simplicity. Vertical scale fits, AWS-only stack, multi-AZ replication is the durability story. Default for typical SaaS.
• Operational fit plus documented rationale. Team workflow considered; per-database rationale captured. Future migrations have a paper trail.

Why this compounds

The right managed-MySQL choice compounds across years. Database patterns and team expertise align with the platform; cross-database tooling (backup strategy, schema-migration workflow, observability) gets built once and reused. By year two the choice is automatic per database.

• Better operational fit. Platform matches team and workload. Velocity stays high.
• Workload-driven decisions. Replaces tribal preference with documented rationale. Quality of choice improves.
• Better engineering velocity. Right platform means schema migrations and capacity changes are predictable. Iteration speed increases.
• Year-one investment, year-two habit. First MySQL choice is the investment; subsequent databases inherit the patterns.