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Types of Caching Explained: Browser, CDN, Local, Distributed, and Database Caches

A clear guide to browser, CDN/edge, reverse-proxy, local in-memory, distributed, and database caches—what each layer solves, where it lives, and how to choose the simplest useful cache.

Published: June 10, 2025
Updated: September 10, 2026
2 min read
Types of Caching Explained: Browser, CDN, Local, Distributed, and Database Caches

Types of Caching Explained: Browser, CDN, Local, Distributed, and Database Caches

Caching exists at several layers. The best cache is usually the closest simple layer that can safely reuse the data.

Rendering diagram…
Diagram generated from the article's Mermaid source.

Browser Cache

The browser can reuse HTTP responses for one client. This is ideal for static assets and cacheable responses.

Use Cache-Control deliberately. private keeps personalized content out of shared caches, while public/max-age can allow broader reuse when appropriate.

CDN / Edge Cache

A CDN stores reusable HTTP content geographically closer to users. This reduces latency and origin traffic for assets, public pages, media, and other cacheable responses.

Use it before building a custom distributed cache for problems that are fundamentally HTTP delivery problems.

Reverse-Proxy Cache

Nginx, Varnish, gateways, and managed edge platforms can cache responses in front of the application. This can collapse repeated requests before they reach expensive backend code.

Local In-Memory Cache

An application can cache data inside its own process. This has almost no network overhead, but each replica owns a separate copy and process restarts clear it.

Use it for small hot data where per-instance staleness is acceptable.

Distributed Cache

Redis/Valkey/Memcached-style caches provide one shared caching layer across many application instances.

They are useful for shared hot data, but add network latency, memory planning, eviction, failover, and consistency concerns.

Database/Internal Cache

Databases already cache frequently accessed pages/index data in memory. Before adding another cache layer, make sure the database is properly indexed and sized.

Application caching complements database caching; it should not hide bad queries.

Which Layer Should You Choose?

NeedGood starting layer
Static JS/CSS/imagesBrowser + CDN
Public HTTP response reused globallyCDN/edge
Tiny per-process lookupLocal memory
Shared hot data across app replicasDistributed cache
Repeated DB pages/index readsDatabase's own cache

Final Takeaway

Caching is not one technology. Browser, CDN, proxy, local, distributed, and database caches solve different latency and load problems. Start closest to the user/source, avoid caching personalized data in shared layers accidentally, and add another cache only when it removes measurable work.

References

Tags:CachingCDNDistributed CacheIn-Memory CachePerformanceScalability
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