Key features
- Database branching — Git-style schema branch, develop, and deploy request for zero-downtime migrations
- Vitess sharding — horizontal MySQL sharding for APAC high-throughput applications beyond single-instance scale
- Serverless scaling — automatic scaling to handle APAC traffic peaks without manual capacity management
- Connection pooling — PlanetScale Boost query caching and connection pooling for APAC application performance
- Insights — query performance analytics and slow query detection for APAC database optimisation
- Multiple regions — APAC-region database deployments for data sovereignty and low-latency requirements
- MySQL compatibility — standard MySQL protocol; existing APAC MySQL applications connect without driver changes
Best for
- APAC engineering teams operating high-traffic MySQL applications that have hit single-instance MySQL scale limits
- Development teams wanting safe, reviewable schema migrations without locking production MySQL tables
- APAC startups wanting serverless MySQL that scales to zero cost between traffic peaks without provisioning decisions
- Engineering teams wanting to eliminate MySQL DBA operational overhead from APAC infrastructure responsibilities
Limitations to know
- ! PlanetScale does not support foreign key constraints (Vitess limitation) — APAC applications relying on FK enforcement need application-level referential integrity
- ! PlanetScale is MySQL-only — APAC teams standardising on PostgreSQL should evaluate Neon or Supabase instead
- ! Database branching model has a learning curve for APAC teams accustomed to traditional schema migration tooling
- ! PlanetScale pricing can exceed self-managed MySQL at very high APAC storage volumes — model unit economics at anticipated scale
About PlanetScale
PlanetScale is a serverless MySQL database platform powered by Vitess (the database clustering system developed at YouTube for planet-scale MySQL sharding) that provides APAC engineering teams with horizontal MySQL scalability, Git-style database branching for zero-downtime schema migrations, and a serverless deployment model that eliminates MySQL operational overhead.
PlanetScale's database branching — which creates an isolated copy of the production database schema in a separate branch, enables APAC developers to make and test schema changes in the branch without affecting production traffic, and provides a structured deploy request workflow for promoting schema changes to production — addresses the highest-risk operational moment in MySQL application development: schema migrations on live production databases.
Traditional MySQL schema migrations on APAC production databases create risk: ALTER TABLE operations can lock the table for the duration of the migration, causing application timeouts for APAC users while the migration runs. Online schema change tools (pt-online-schema-change, gh-ost) reduce this risk but add operational complexity. PlanetScale's branching model eliminates it: schema changes are developed and validated in a branch, then deployed to production through PlanetScale's non-blocking migration system that uses shadow tables and incremental cutover.
PlanetScale's Vitess-based horizontal sharding — which distributes MySQL data across multiple shards, routing queries to the correct shard transparently — enables APAC applications that have grown beyond single-instance MySQL capacity to scale horizontally without application changes. APAC e-commerce platforms with billions of product listings, APAC financial services applications with large transaction tables, and APAC gaming companies with high-write-throughput user data all benefit from Vitess sharding when single-instance MySQL can no longer handle query throughput.
PlanetScale's serverless model — where APAC engineering teams connect to PlanetScale with a standard MySQL connection string, databases scale automatically to handle traffic spikes and scale to reduced capacity during off-peak periods, and pricing reflects actual storage and query consumption rather than provisioned instance size — removes MySQL capacity planning from APAC engineering team responsibilities.
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