Supabase Performance Tuning

Overview

Systematically improve Supabase query and database performance across three layers: PostgreSQL engine (indexes, query plans, materialized views), Supabase infrastructure (Supavisor connection pooling, Edge Functions, read replicas), and client SDK patterns (column selection, pagination, RPC functions). Every technique here is measurable — run EXPLAIN ANALYZE before and after to confirm the improvement.

Prerequisites

• Supabase project (local or hosted) with @supabase/supabase-js v2+ installed
• Supabase CLI installed (npx supabase --version to verify)
• Access to the SQL Editor in the Supabase Dashboard or a direct Postgres connection
• pg_stat_statements extension enabled (Step 1 covers this)

Instructions

Step 1: Diagnose — Find What Is Slow

Start every performance effort with data. Enable pg_stat_statements and run the Supabase CLI diagnostics to identify bottlenecks before optimizing.