PostgreSQL vs. DynamoDB vs. Firestore: A Freelance Database Programmer's Guide | Aldian Fazrihady

Choosing between PostgreSQL (Supabase / RDS / Cloud SQL), Amazon DynamoDB, and Google Cloud Firestore / Datastore shapes your query patterns, lock semantics, and monthly cloud costs for years.

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PostgreSQL, PostGIS & asyncpg: Ideal for ACID financial ledgers, complex BI joins, geospatial radius queries (GeoDjango & PostGIS), and `pgvector` AI search.
Amazon DynamoDB: Ideal for predictable single-digit millisecond key-value lookups and massive daily price/event persistence (Scaling DynamoDB WCUs & DynamoDB Parallel Queries).
Cloud Datastore & Native Firestore: Ideal for real-time client listeners and hierarchical ancestor-key entities (Datastore Mode vs. Native Firestore Lock Risks).

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About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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