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Data Pipeline with n8n + Postgres + AI: $0/Month Stack | Autonow | Autonow

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Building a Production Data Pipeline with n8n + Postgres + AI

The $0/month stack that handles 95% of startup data needs — from Stripe, HubSpot, GA4 to nightly AI-powered analysis

By Autonow Team|February 23, 2026|9 min read

data-pipeline n8n postgres ai etl neon openai automation data-engineering startup

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Building a Production Data Pipeline with n8n + Postgres + AI

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On This Page

Why This Stack?
Architecture Overview
Part 1: Setting Up n8n
Docker Compose Installation
Using Neon (Recommended for Beginners)
Part 2: Database Schema Design
Core Events Table
Domain-Specific Tables
Materialized Views for Fast Reporting
Part 3: Building n8n Workflows
Workflow 1: Stripe → Postgres (Real-time via Webhook)
Workflow 2: HubSpot → Postgres (Scheduled, Daily)
Workflow 3: GA4 → Postgres (Daily Report)
Part 4: AI Analysis Layer
Nightly AI Report (n8n + OpenAI)
Using a Self-Hosted LLM (Free Alternative)
SQL-Based Anomaly Detection
Part 5: Production Considerations
Idempotency — Prevent Duplicate Data
Error Handling in n8n
Pipeline Health Monitoring
Part 6: Real-World Cost Breakdown
When to Migrate
Conclusion

At a Glance

Updated 101 days ago

Complete guide to building a production data pipeline with n8n (orchestration), Postgres/Neon (storage), and AI (analysis): universal events table schema, Stripe/HubSpot/GA4 workflows, materialized views, SQL anomaly detection, and nightly AI reports — all for $0–$50/month.

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