Supabase Migration: 30% Latency Drop at Scale
Key Performance Metrics
"How a high-traffic gaming platform migrated 20M users from DynamoDB to Supabase Postgres, achieving lower latency and unified relational capabilities."
Supabase Migration Case Study
Migrating core database infrastructure is a major operational risk, especially for a high-traffic gaming platform with over 20 million users. In this case study, we document the technical decision, migration script pipeline, and post-migration outcomes of moving from AWS DynamoDB to Supabase Managed PostgreSQL.
The Challenge
Our DynamoDB architecture was suffering from high costs due to unstructured querying pattern growth. We were forced to perform client-side joins, resulting in excessive network roundtrips and high data-egress bills.
Furthermore, developer velocity was impacted by DynamoDB's schema-less nature, which frequently led to silent type mismatch bugs in production.
The Solution
We chose Supabase because it provides a fully managed, dedicated Postgres instance with native connection pooling (PgBouncer/Supavisor) and built-in row-level security (RLS).
Migration Strategy
- Schema Design: We mapped our DynamoDB JSON schemas into structured PostgreSQL tables with strict indexing.
- Dual Writing: For 14 days, we wrote user event data to both databases to verify parity.
- Data Sync: We built a custom Node.js stream pipeline that batch-transferred 20 million records from DynamoDB streams directly to Supabase via the Postgres COPY command.
Outcome
- Latency: Average query latency dropped by 30% thanks to relational indexing and database-level joins.
- Developer Experience: 100% type safety achieved by auto-generating TypeScript types from the Postgres schema.
- Infrastructure Bill: Reduced monthly database hosting bills by $4,000.