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Stack category

Database & Storage Stack

Choose storage by data shape first: relational records, files, caches, vectors, or a mix of all four.

Relational, vector, cache, or object storage?

Use relational storage for users and product state, object storage for files, cache for speed, and vectors only when semantic search or retrieval actually matters.

View stack library

Storage tools to compare

Best for

Postgres / Supabase / Neon

Best for

Users, billing state, projects, permissions, and general application records.

Tradeoff

Strong default for most products, but you still need to model the schema well.

D1 / Turso

Best for

Lightweight app data, edge-friendly products, and smaller operational footprints.

Tradeoff

Convenient for low-ops builds, but not the right fit for every relational workload.

R2 / S3 / Redis

Best for

Files, assets, exports, caches, and fast reuse of generated outputs.

Tradeoff

Great support layer, but you still need a primary database for core app state.

Practical fit

Recommended combinations

Cloudflare AI Product Stack

Best when you want D1, R2, and a low-ops edge setup together.

AI SaaS Billing Stack

Best when product state, entitlements, and billing records need to stay aligned.

Storage choices are usually the least visible part of the stack, but they shape cost, performance, and future migration work more than the UI does.

Storage choices are usually the least visible part of the stack, but they shape cost, performance, and future migration work more than the UI does.

Related stack categories

Hosting & DeploymentAI Models & APIsBack to stack library