QuestDB

QuestDB — fast time-series database with SQL syntax and zero-friction ingest.

DatabaseModerate

Stack Components

DatabaseQuestDB 8.x

Why

Columnar storage, SIMD-optimized SQL, ILP protocol for high-throughput ingest. 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 IoT/financial time-series at scale. Avoid for transactional workloads.

How

1. Run QuestDB via Docker 2. Create table with SQL 3. Ingest via ILP or REST 4. Query with SQL 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

SELECT * FROM trades WHERE symbol = 'BTC' ORDER BY timestamp DESC LIMIT 10; // QuestDB — usage example import { QuestDB } from "db2-questdb"; const result = await questdb({ input: "data" }); console.log(result);

Common Problems

⚠Time zone handling — use designated timestamp column
⚠Memory pressure — tune cache sizes
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Use partition by month for large tables
✓Leverage ILP for highest ingest throughput
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is QuestDB and what projects is it for?

QuestDB — fast time-series database with SQL syntax and zero-friction ingest. 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 QuestDB in 10 minutes?

Two steps: (1) Run QuestDB via Docker; (2) Create table with SQL. 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 QuestDB and how do I avoid it?

The most common pitfall is: Time zone handling — use designated timestamp column. 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 QuestDB?

Best practices for QuestDB include: Use partition by month for large tables; Leverage ILP for highest ingest throughput; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use partition by month for large tables" — should be set up at project init to avoid costly rework later.

When should I NOT choose QuestDB?

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