Skip to content
Back to Stack Recommender

Cloudflare D1 SQLite

D1 for edge SQLite on Workers.

DatabaseSimple

Stack Components

DBD1
BaseSQLite
Clientwrangler 3
RuntimeWorkers

Why

Edge, serverless, SQLite native. PostgreSQL is used by nearly 50% of professional developers, making it the most popular database (Stack Overflow 2024).

SQLite powers 1 trillion+ active databases (every iOS/Android device), and DuckDB emerged as the fastest OLAP engine for analytics, 5-10x faster than ClickHouse for single-node queries.

When

Use for CF Workers apps. Avoid for non-CF stacks.

How

1. wrangler d1 create mydb 2. wrangler d1 execute mydb --command 'CREATE TABLE...' 3. Query in Worker 4. Use bindings

Example

const result = await env.DB.prepare('SELECT * FROM users').all() await env.DB.prepare('INSERT INTO users (name) VALUES (?)').bind('Alice').run()

Common Problems

  • ⚠Read replicas — use for read-heavy workloads
  • ⚠Migrations — use wrangler d1 migrations
  • ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

  • ✓Use prepared statements for safety
  • ✓Leverage D1 sessions for transactions
  • ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Cloudflare D1 SQLite and what projects is it for?

D1 for edge SQLite on Workers. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Cloudflare D1 SQLite in 10 minutes?

Two steps: (1) wrangler d1 create mydb; (2) wrangler d1 execute mydb --command 'CREATE TABLE...'. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Cloudflare D1 SQLite and how do I avoid it?

The most common pitfall is: Read replicas — use for read-heavy workloads. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Cloudflare D1 SQLite?

Best practices for Cloudflare D1 SQLite include: Use prepared statements for safety; Leverage D1 sessions for transactions; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use prepared statements for safety" — should be set up at project init to avoid costly rework later.

When should I NOT choose Cloudflare D1 SQLite?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Cloudflare D1 SQLite shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.