The definitive resource for developers building with multiple databases. Guides, starter templates, and tooling for polyglot persistence — done right, from day one.
The Problem
PostgreSQL, MongoDB, Redis — each has world-class documentation. But when you need all three together? You're on your own.
Most production apps use 3–5 database types. There's no single resource that covers how they work together — only isolated documentation that ignores the others exist.
Should you add Redis to your Postgres app? When does Elasticsearch become necessary? These decisions have real consequences but there's no clear decision guide anywhere.
Every developer who's set up Postgres + Redis + Elasticsearch has written the same connection boilerplate from scratch. There's no standard starting point.
Every AI-powered app now needs a vector database, a relational database, and a cache. The demand for polyglot knowledge has surged — but the resources haven't caught up.
How It Works
polyglotstack.dev starts as the documentation that should already exist — and grows into the tooling that makes polyglot persistence effortless.
Architecture guides, decision trees, and real-world examples for every major database combination. When to use Postgres + Redis. When to add Elasticsearch. How to structure an AI app with a vector database. All in one place, kept up to date.
Run npx polyglotstack init and choose your databases. Get a production-ready project with Docker Compose, environment configuration, connection boilerplate, and a detailed README explaining every decision.
Connect all your databases to a single dashboard. Browse data, run queries, monitor health, and manage credentials — regardless of which database type they live in. The Supabase experience, for your entire polyglot stack.
Example Architecture
A typical modern application uses 3–5 databases. Here's how a production e-commerce app wires them together.
Starter Templates
Production-ready templates for every major database combination. Docker Compose, connection boilerplate, and detailed READMEs included.
The most common production combo. Postgres for your data, Redis for caching and sessions. Includes connection pooling and cache-aside pattern.
Built for LLM-powered apps. pgvector for embeddings and semantic search, Postgres for structured data, Redis for caching AI responses.
Flexible document storage with powerful full-text search. Sync pipeline included. Ideal for content-heavy applications and catalogues.
The complete setup. Relational data, caching, and search all wired together with event-based sync. The pattern used at production scale.
Structured relational data alongside flexible document storage. Use Postgres for core entities and MongoDB for variable-schema content.
Tell us which combination you need. Community-voted templates are built next.
Pricing
All guides and templates are free forever. Pay only when you need the hosted platform — and only when your team needs it.
Everything you need to learn and implement polyglot persistence yourself.
For individual developers who want the full hosted platform experience.
For engineering teams managing polyglot infrastructure together.
Get Started
Join the developers who are building smarter with polyglot persistence. Free, open source, and built by a developer who's solved this problem.