Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/supabase-cost-tuning/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill supabase-cost-tuning. Copyright stays with the author (MIT).

Supabase Cost Tuning

Overview

Reduce Supabase spend by auditing usage against plan limits, eliminating database and storage waste, and right-sizing compute resources. The three biggest levers: database optimization (vacuum, index cleanup, archival), storage lifecycle management (compress before upload, orphan cleanup), and connection pooling to reduce compute add-on requirements.

Work the three steps below in order — audit first to find where the money goes, then optimize the biggest offenders, then right-size compute. Each step keeps a representative snippet inline; the full query and script sets live in references/ so this file stays scannable.

Prerequisites

• Supabase project with Dashboard access (Settings > Billing)
• @supabase/supabase-js installed: npm install @supabase/supabase-js
• Service role key for admin operations (storage audit, cleanup scripts)
• SQL editor access (Dashboard > SQL Editor or psql connection)

Pricing Reference

Compute add-ons (Pro and above):

Decision framework: Read replicas ($25/mo each) beat scaling up when reads dominate and geographic distribution is needed. Connection pooling (Supavisor, free) reduces compute pressure from idle connections.

Instructions

Step 1: Audit current usage and identify cost drivers

Find where the database budget is going before changing anything. Run the audit queries in the SQL Editor to surface the biggest tables, unused indexes, dead-tuple bloat, and connection count. Start with total size:

select pg_size_pretty(pg_database_size(current_database())) as total_db_size;

Then audit storage per bucket with a service-role client, and read current spend under Dashboard > Settings > Billing. See full audit queries and storage script for the complete SQL set (table sizes, zero-scan indexes, dead-tuple ratio, connection count) and the per-bucket usage script.

Step 2: Optimize database, storage, and bandwidth

Attack the biggest offenders from Step 1. Archive old rows before deleting, then VACUUM ANALYZE to reclaim space and refresh planner stats:

vacuum (verbose, analyze) public.events;

For storage, compress images client-side before upload and schedule an orphan-cleanup job. For bandwidth, replace select('*') with explicit column lists, use head: true count queries for totals, and paginate with .range(). See full optimization code for the archival + VACUUM SQL, the compress/clean-orphans scripts, and the bandwidth-reduction patterns.

Step 3: Right-size compute and reduce Edge Function costs

Prefer pooling and code fixes over a compute upgrade. Route direct pg connections (migrations, ORMs) through the Supavisor pooler URL instead of scaling the instance:

// Direct endpoint: db.xxx.supabase.co on port 5432
// Pooled endpoint: db.xxx.supabase.co on port 6543

Cut Edge Function cost by keeping imports lightweight (dynamic-import heavy libraries only on the paths that need them) and caching expensive results across warm invocations. Add a lightweight usage-tracking table plus a daily materialized-view summary for spend visibility. See full compute and Edge Function code for the pooling config, cold-start patterns, and usage-monitoring schema (Step 3 section).

Output

After completing all three steps, the project has:

• Database size audit with table-level breakdown and dead tuple analysis
• Unused indexes identified and dropped to reclaim storage
• Old data archived and vacuumed to free database space
• Storage orphans cleaned and upload compression implemented
• Bandwidth reduced through column selection and pagination
• Connection pooling configured to avoid unnecessary compute upgrades
• Edge Function cold starts minimized with dynamic imports and caching
• Usage monitoring table and daily summary view for spend visibility

Error Handling

Examples

Quick cost check — read database size and bucket count with a service-role client to see how close a growing project sits to its plan limits.

Monthly cost estimation — feed measured usage (DB GB, storage GB, bandwidth GB, Edge Function invocations, MAU) into a Pro-tier overage calculator that prints a line-item breakdown and total.

See full example scripts for the runnable quick-check and the estimateMonthlyCost calculator with a worked $31.05/mo case.

Resources

• Supabase Pricing — plan comparison and calculator
• Compute Add-ons — instance sizing guide
• Spend Cap — prevent unexpected overage charges
• Database Disk Usage — monitoring and management
• Connection Pooling (Supavisor) — reduce connection overhead
• Edge Functions Best Practices — cold start and performance tips
• supabase-js Reference — createClient and SDK patterns

Next Steps

For architecture patterns, see supabase-reference-architecture. For performance tuning beyond cost, see supabase-performance-tuning.