Temporal vs n8n: Choosing the Right Self-Hosted Workflow Engine

Temporal vs n8n: Which Should You Self-Host?

n8n and Temporal represent two distinct paradigms in workflow orchestration, spanning from low-code visual builders to robust code-first distributed engines. While n8n runs in a single container with just 256MB RAM, a minimal Temporal stack requires at least four containers and 4GB of memory.

Why This Matters

Engineers often conflate simple task automation with durable execution, leading to either over-engineered infrastructure or fragile business processes. Choosing the wrong tool results in either massive resource overhead for basic API triggers or a lack of reliability for mission-critical distributed state management.

Key Insights

• n8n features a visual drag-and-drop editor with 400+ pre-built integrations for services like Slack, GitHub, and Google, making it a primary Zapier alternative.
• Temporal provides a durable execution platform where developers write workflow logic in Go, Java, Python, TypeScript, or .NET to guarantee completion despite infrastructure outages.
• Resource requirements vary significantly: n8n idles at 150-250 MB RAM, while a minimal Temporal setup requires ~2 GB for the server, database, and UI.
• Temporal supports high-throughput demands with thousands of workflows per second, whereas n8n is designed for hundreds of workflows per minute.
• Versioning in Temporal is managed through built-in deterministic replay, while n8n requires manual JSON-based workflow management.

Working Examples

Minimal n8n Docker Compose configuration

services:\n  n8n:\n    image: n8nio/n8n:2.11.3\n    ports:\n      - "5678:5678"\n    volumes:\n      - n8n_data:/home/node/.n8n\n    restart: unless-stopped

Minimal Temporal development setup

services:\n  temporal:\n    image: temporalio/auto-setup:1.29.3\n    ports:\n      - "7233:7233"\n    depends_on:\n      - postgresql\n    environment:\n      - DB=postgresql\n      - DB_PORT=5432\n      - POSTGRES_USER=temporal\n      - POSTGRES_PWD=temporal\n      - POSTGRES_SEEDS=postgresql\n    restart: unless-stopped

Practical Applications

• Use Case: Automating SaaS tasks like saving Gmail attachments to Nextcloud using n8n. Pitfall: Using Temporal for simple integrations requires writing custom connector code for every service.
• Use Case: Building a fintech payment processing pipeline using Temporal for guaranteed state recovery. Pitfall: Relying on n8n for high-volume distributed processing can lead to polling timeouts and fragile error handling.

References:

• https://dev.to/selfhostingsh/temporal-vs-n8n-which-should-you-self-host-5e8k