FaunaDB Document

FaunaDB for serverless document DB.

DatabaseModerate

Stack Components

DBFaunaDB

Clientfaunadb 4

QueryFQL

Why

Global, ACID, FQL, pay per use. 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 serverless apps. Avoid for complex migrations.

How

1. Create FaunaDB database 2. Get access key 3. Connect with client 4. Query with FQL 5. Add environment configuration — cp .env.example .env && edit values 6. Run tests — npm test or pnpm test to verify setup 7. Deploy — git push to trigger CI/CD or manual deploy

Example

const q = faunadb.query const result = await client.query(q.Map(q.Paginate(q.Documents(q.Collection('users'))), q.Lambda(x => q.Get(x))))

Common Problems

⚠FQL — learn the functional query style
⚠Indexes — create for non-id lookups
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Use User-Defined Functions for logic
✓Leverage temporal features
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is FaunaDB Document and what projects is it for?

FaunaDB for serverless document DB. 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 FaunaDB Document in 10 minutes?

Two steps: (1) Create FaunaDB database; (2) Get access key. 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 FaunaDB Document and how do I avoid it?

The most common pitfall is: FQL — learn the functional query style. 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 FaunaDB Document?

Best practices for FaunaDB Document include: Use User-Defined Functions for logic; Leverage temporal features; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use User-Defined Functions for logic" — should be set up at project init to avoid costly rework later.

When should I NOT choose FaunaDB Document?

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). FaunaDB Document shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.