supabase-rate-limits

Supabase Rate Limits

Overview

Supabase enforces rate limits and quotas across every API surface — PostgREST, Auth, Storage, Realtime, and Edge Functions. Limits scale by plan tier. This skill covers the exact numbers per tier, connection pooling via Supavisor, retry/backoff patterns, pagination to reduce payload, and dashboard monitoring so you can stay within quotas and handle 429 errors gracefully.

Prerequisites

• Active Supabase project (any tier)
• @supabase/supabase-js v2+ installed
• Project URL and anon/service-role key available
• Node.js 18+ or equivalent runtime

Instructions

Step 1 — Understand Rate Limits by Tier and Surface

Every Supabase project has per-surface limits that differ by plan. Know these numbers before you architect:

API Request Limits

Metric	Free	Pro	Enterprise
Requests per minute (RPM)	500	5,000	Unlimited (custom)
Requests per day (RPD)	50,000	1,000,000	Unlimited (custom)

Auth Rate Limits

Endpoint	Free	Pro
Signup	30/hour per IP	Higher (configurable)
Sign-in (password)	30/hour per IP	Higher (configurable)
Magic link / OTP	4/hour per user	Configurable
Token refresh	360/hour	360/hour

Auth limits are per-IP and per-user. Configure custom limits in Dashboard > Authentication > Rate Limits.

Storage Bandwidth

Metric	Free	Pro
Storage size	1 GB	100 GB
Bandwidth	2 GB/month	250 GB/month
Max file size	50 MB	5 GB
Upload rate	Shared with API RPM	Shared with API RPM

Realtime Connections

Metric	Free	Pro
Concurrent connections	200	500
Messages per second	100	500
Channel joins	Shared with connection limit	Shared

Edge Functions

Metric	Free	Pro
Invocations/month	500,000	2,000,000
Execution time	150s wall / 50ms CPU	150s wall / 2s CPU
Memory	256 MB	256 MB

Database Connections

Mode	Free	Pro
Direct connections	60	100+
Pooled connections (Supavisor)	200	1,500+

Step 2 — Configure Connection Pooling with Supavisor

Supavisor is Supabase's built-in connection pooler (replaced PgBouncer). It supports two modes:

Transaction mode (port 6543) — recommended for serverless:

import { createClient } from '@supabase/supabase-js'

// Transaction mode: connections returned to pool after each transaction
// Best for: serverless functions, Edge Functions, high-concurrency apps
const supabase = createClient(
  'https://your-project.supabase.co',
  process.env.SUPABASE_ANON_KEY!,
  {
    db: {
      // Use the pooler connection string with port 6543
      // Format: postgresql://postgres.[ref]:[password]@aws-0-[region].pooler.supabase.com:6543/postgres
    }
  }
)

// For direct Postgres connections (e.g., Prisma, Drizzle), add pgbouncer=true
// Connection string: postgresql://[email protected]:6543/postgres?pgbouncer=true

Session mode (port 5432) — for LISTEN/NOTIFY and prepared statements:

// Session mode: dedicated connection per client session
// Best for: long-lived connections, LISTEN/NOTIFY, prepared statements
// Connection string: postgresql://[email protected]:5432/postgres

When to use which mode:

Use case	Mode	Port
Serverless / Edge Functions	Transaction	6543
Next.js API routes	Transaction	6543
Long-running workers	Session	5432
Realtime subscriptions	Direct (no pooler)	5432
Prisma / Drizzle ORM	Transaction + ?pgbouncer=true	6543

Step 3 — Implement Retry, Pagination, and Monitoring

Retry with exponential backoff for 429 errors:

import { createClient, SupabaseClient } from '@supabase/supabase-js'

const supabase = createClient(
  process.env.SUPABASE_URL!,
  process.env.SUPABASE_ANON_KEY!
)

interface RetryConfig {
  maxRetries: number
  baseDelayMs: number
  maxDelayMs: number
}

async function withRetry<T>(
  operation: () => Promise<{ data: T | null; error: any }>,
  config: RetryConfig = { maxRetries: 3, baseDelayMs: 500, maxDelayMs: 10_000 }
): Promise<T> {
  for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
    const { data, error } = await operation()

    if (!error) return data as T

    const isRetryable =
      error.message?.includes('rate limit') ||
      error.message?.includes('too many requests') ||
      error.code === '429' ||
      error.code === 'PGRST000'  // connection pool exhausted

    if (!isRetryable || attempt === config.maxRetries) {
      throw new Error(`Supabase error after ${attempt + 1} attempts: ${error.message}`)
    }

    // Check Retry-After header if available
    const retryAfter = error.details?.retryAfter
    const delay = retryAfter
      ? retryAfter * 1000
      : Math.min(
          config.baseDelayMs * Math.pow(2, attempt) + Math.random() * 200,
          config.maxDelayMs
        )

    console.warn(`[supabase-retry] Attempt ${attempt + 1}/${config.maxRetries}, waiting ${delay}ms`)
    await new Promise((resolve) => setTimeout(resolve, delay))
  }

  throw new Error('Unreachable')
}

// Usage — wraps any Supabase query
const users = await withRetry(() =>
  supabase.from('users').select('id, email, created_at').eq('active', true)
)

Pagination to reduce payload and stay within limits:

// Use .range() to paginate — reduces response size and avoids timeouts
async function fetchPaginated<T>(
  table: string,
  pageSize = 100,
  filters?: (query: any) => any
): Promise<T[]> {
  const allRows: T[] = []
  let from = 0

  while (true) {
    let query = supabase.from(table).select('*', { count: 'exact' })
    if (filters) query = filters(query)

    const { data, error, count } = await query.range(from, from + pageSize - 1)

    if (error) throw error
    if (!data || data.length === 0) break

    allRows.push(...(data as T[]))
    from += pageSize

    // Stop if we've fetched everything
    if (count !== null && from >= count) break
  }

  return allRows
}

// Usage
const allProducts = await fetchPaginated('products', 100, (q) =>
  q.eq('status', 'active').order('created_at', { ascending: false })
)

// Simple single-page fetch with .range()
const { data } = await supabase
  .from('orders')
  .select('id, total, status')
  .range(0, 99)  // First 100 rows (0-indexed)
  .order('created_at', { ascending: false })

Monitor usage via the Dashboard:

1. Navigate to Dashboard > Reports > API Usage
2. Check the "API Requests" chart for RPM/RPD trends
3. Review "Database" section for connection count and pool utilization
4. Set up alerts in Dashboard > Settings > Notifications for:
   • API request threshold (e.g., 80% of RPM limit)
   • Database connection saturation
   • Storage bandwidth approaching limit

Batch operations to reduce request count:

// BAD: N individual inserts = N requests against your RPM
// for (const item of items) await supabase.from('items').insert(item)

// GOOD: single batch insert (max ~1000 rows per request)
const { data, error } = await supabase
  .from('items')
  .upsert(batchOfItems, { onConflict: 'external_id' })
  .select()

// For larger batches, chunk into groups
function chunk<T>(arr: T[], size: number): T[][] {
  return Array.from({ length: Math.ceil(arr.length / size) }, (_, i) =>
    arr.slice(i * size, i * size + size)
  )
}

for (const batch of chunk(largeDataset, 500)) {
  await withRetry(() =>
    supabase.from('items').upsert(batch, { onConflict: 'external_id' }).select()
  )
}

Output

After applying this skill you will have:

• Clear understanding of rate limits per tier (Free: 500 RPM / 50K RPD, Pro: 5K RPM / 1M RPD)
• Connection pooling configured via Supavisor (port 6543 transaction mode for serverless)
• Retry wrapper with exponential backoff handling 429 errors
• Paginated queries using .range(0, 99) to reduce payload size
• Batch upsert pattern reducing N requests to 1
• Dashboard monitoring configured for API usage alerts

Error Handling

Error	Cause	Solution
429 Too Many Requests	Exceeded RPM or RPD limit	Apply withRetry backoff; reduce concurrency; upgrade tier
PGRST000: could not connect	Connection pool exhausted	Switch to Supavisor transaction mode (port 6543); reduce concurrent queries
Auth over_request_rate_limit	Too many signups/logins from one IP	Add CAPTCHA; configure custom auth rate limits in Dashboard
Storage 413 Payload Too Large	File exceeds tier limit	Use TUS resumable upload; check tier file size limit
Realtime too_many_connections	Concurrent connection limit reached	Unsubscribe unused channels; upgrade to Pro for 500 connections
Edge Function BOOT_ERROR	Cold start timeout or memory exceeded	Reduce bundle size; avoid large imports at top level
pgbouncer=true errors with Prisma	Missing connection string parameter	Append ?pgbouncer=true to pooler connection string on port 6543

Examples

Example 1 — Serverless Edge Function with rate-limit-safe client:

// supabase/functions/process-webhook/index.ts
import { serve } from 'https://deno.land/[email protected]/http/server.ts'
import { createClient } from 'https://esm.sh/@supabase/supabase-js@2'

serve(async (req) => {
  const supabase = createClient(
    Deno.env.get('SUPABASE_URL')!,
    Deno.env.get('SUPABASE_SERVICE_ROLE_KEY')!
  )

  const payload = await req.json()

  // Batch insert webhook events (single request vs N)
  const { error } = await supabase
    .from('webhook_events')
    .insert(payload.events.map((e: any) => ({
      type: e.type,
      data: e.data,
      received_at: new Date().toISOString(),
    })))

  if (error) {
    console.error('Insert failed:', error.message)
  

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