Does SQLite Work With Netlify?

Partially CompatibleLast verified: 2026-02-26

SQLite can work with Netlify Functions, but filesystem persistence is unreliable; use it for read-heavy workloads or combine with external storage.

Quick Facts

Compatibility

partial

Setup Difficulty

Easy

Official Integration

No — community maintained

Confidence

high

Minimum Versions

How SQLite Works With Netlify

SQLite integrates with Netlify through serverless functions (Node.js runtime), but with significant architectural caveats. Each function invocation runs in an ephemeral container with a writable /tmp directory that persists only during that execution context. This means SQLite database files stored locally will be lost between requests, making traditional persistent SQLite impractical for production use.

The practical approach is using SQLite as a read-only reference database or cache layer. Developers bundle a pre-built SQLite database file with their function deployment, query it for fast local access without network latency, then write changes to a persistent backend like Postgres or DynamoDB. Alternatively, use sqlite3 in-memory databases for per-request computations. For true persistence with SQLite, mount it via a volume service like Netlify's upcoming persistent storage or migrate to a managed database solution.

The developer experience is straightforward for read-heavy applications: install better-sqlite3 or sql.js, include your database file in the deployment bundle, and query it directly in your function handler. Network round-trips to external databases are eliminated for read operations, improving cold-start performance. However, this pattern requires discipline around data freshness and careful synchronization between your SQLite bundle and primary data store.

Best Use Cases

→Read-only reference data like product catalogs, feature flags, or geographic lookup tables bundled with functions

→Full-text search indexes that rarely change, deployed as embedded SQLite files for instant search without external service calls

→Per-request data aggregation and transformation using in-memory SQLite databases to process query results

→Multi-tenant applications using SQLite for tenant-specific cached data replicated from a primary Postgres database

Quick Setup

bash

npm install better-sqlite3

typescript

import Database from 'better-sqlite3';
import path from 'path';

export default async (req, context) => {
  try {
    // Point to bundled database file
    const dbPath = path.join(process.cwd(), 'data.db');
    const db = new Database(dbPath, { readonly: true });

    // Execute read-only query
    const stmt = db.prepare('SELECT * FROM products WHERE id = ?');
    const product = stmt.get(req.queryStringParameters?.id || 1);

    db.close();

    return {
      statusCode: 200,
      body: JSON.stringify(product),
    };
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: error.message }),
    };
  }
};

Known Issues & Gotchas

critical

Database file changes are lost after function execution due to ephemeral filesystem

Fix: Use SQLite only for reads, or architect writes to flow to a persistent backend (Postgres, DynamoDB) and rebuild/deploy the SQLite bundle separately

warning

SQLite database files bundled in deployments increase function size and cold-start latency

Fix: Keep SQLite files under 50MB; compress if possible; consider lazy-loading only necessary tables or use separate functions for different datasets

critical

Concurrent writes from multiple function instances cause database locks and failures

Fix: Never attempt writes in serverless functions; SQLite is single-writer by design and incompatible with horizontal scaling

warning

SQLite bundled in deployment becomes stale if source data changes outside the deploy pipeline

Fix: Implement automated rebuild/redeploy triggers when source data changes, or sync SQLite from primary database at function startup

Alternatives

•Postgres with Vercel/Netlify (managed relational database with proper persistence and scaling)
•DynamoDB + Netlify Functions (serverless NoSQL with built-in persistence, better cold-start)
•Supabase (Postgres-backed with SQLite compatibility layer, includes real-time features)

Resources

docsNetlify Functions Documentation githubbetter-sqlite3 NPM Package docsSQLite Documentation tutorialServerless SQLite Patterns

Related Compatibility Guides

Flask + Netlify Django + Netlify Flask + SQLite NestJS + Netlify Django + SQLite FastAPI + SQLite

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