Caching

An index and topic collection covering API-accessible caching services, in-memory data stores, key-value caches, and edge/CDN cache APIs. Caching reduces latency, lowers backend load, and improves API consumer experience by serving frequently requested data from memory or geographically distributed edges. This collection covers managed in-memory data stores like Redis, Amazon ElastiCache, and Google Cloud Memorystore; high-throughput alternatives such as Dragonfly, Aerospike, and Hazelcast; and edge cache services from Cloudflare, Fastly, Akamai, AWS CloudFront, and Vercel. It focuses on caching as a service or product, not on HTTP cache header semantics handled at the gateway or proxy layer.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

How we profile Caching

Each block below is one kind of artifact we hold for Caching. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Features 8

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

In-Memory Key-Value Storage

Caching services like Redis, Memcached, and Valkey store data in RAM keyed by strings, hashes, or structured types, returning values in sub-millisecond response times for hot da...

Managed Cache as a Service

Cloud providers like Amazon ElastiCache, Google Cloud Memorystore, Azure Cache for Redis, and Upstash offer fully managed Redis and Memcached clusters with provisioning, patchin...

Edge and CDN Caching

Services like Cloudflare, Fastly, Akamai, and AWS CloudFront cache API responses, static assets, and dynamic content at globally distributed edge locations to minimize latency f...

Cache Invalidation and Purge APIs

Edge and in-memory cache services expose purge, invalidate, and refresh endpoints that let applications evict stale entries by key, tag, surrogate-key, or URL pattern when under...

TTL and Eviction Policies

Cache entries are governed by time-to-live values and eviction strategies (LRU, LFU, allkeys-lru, volatile-ttl) configurable per key or per cache instance to balance hit rates a...

Distributed and Clustered Caches

Platforms like Hazelcast, Apache Ignite, GridGain, and Aerospike distribute cache data across multiple nodes with partitioning, replication, and near-cache support for large-sca...

Edge Key-Value Stores

Newer products like Cloudflare Workers KV, Vercel Edge Config, Akamai EdgeKV, and Fastly KV Store expose programmatic key-value APIs at the edge, blending CDN distribution with ...

Cache Tagging and Surrogate Keys

Edge caches like Fastly and Cloudflare support surrogate keys and cache tags that group related objects so a single purge request can invalidate thousands of related entries ato...

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Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Caching Context

3 classes · 21 properties

JSON-LD

JSON Schema 2

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

CacheEntry

12 properties

JSON SCHEMA

PurgeRequest

11 properties

JSON SCHEMA

JSON Structure 2

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Caching Cache Entry Structure

12 properties

JSON STRUCTURE

Caching Purge Request Structure

11 properties

JSON STRUCTURE

Examples 2

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Caching Cache Entry Example

12 fields

EXAMPLE

Caching Purge Request Example

11 fields

EXAMPLE

Use Cases 8

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Session and Token Caching

Applications cache authenticated sessions, JWTs, and OAuth tokens in Redis or Memcached so API gateways can validate requests without round-tripping to an identity provider on e...

API Response Caching

API gateways and edge networks cache GET responses keyed by URL and headers so repeated requests for the same resource are served from cache, reducing backend cost and latency.

Database Query Result Caching

Backend services cache expensive database query results in Redis or Hazelcast with TTLs so subsequent identical queries return immediately without hitting the source database.

Rate Limiting and Counters

Redis and similar in-memory stores back distributed rate limiters, leaderboards, and counters using atomic increment operations that scale to millions of operations per second.

CDN Static Asset Delivery

Cloudflare, Fastly, CloudFront, and Akamai cache images, JavaScript, CSS, and other static assets at edge POPs to minimize origin bandwidth and serve global users with low latency.

Edge Personalization and Feature Flags

Edge KV stores like Vercel Edge Config and Cloudflare Workers KV hold feature flags, A/B test configurations, and personalization data accessed by edge functions on every request.

Real-Time Leaderboards and Pub/Sub

Redis sorted sets and pub/sub channels power real-time leaderboards, chat backends, and notification fanout patterns where in-memory speed is required.

Pre-Warming and Cache Stampede Prevention

Applications pre-populate caches before traffic spikes and use techniques like singleflight and probabilistic early expiration backed by Redis to prevent thundering herds agains...

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Integrations 10

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Redis

The most widely deployed open source in-memory data structure store, supporting strings, hashes, sets, sorted sets, streams, and pub/sub with sub-millisecond latency.

Amazon ElastiCache

Fully managed in-memory cache service from AWS supporting Redis and Memcached engines with multi-AZ failover and seamless EC2 integration.

Google Cloud Memorystore

Google Cloud's managed Redis and Memcached service with VPC integration, automatic patching, and high-availability replication.

Azure Cache for Redis

Microsoft's managed Redis service offering Basic, Standard, Premium, and Enterprise tiers with geo-replication and persistence.

Upstash

Serverless Redis and Kafka platform with per-request pricing, global replication, and an HTTP-based REST API for edge and serverless workloads.

Cloudflare

Global edge network providing CDN caching, Workers KV, R2, Cache API, and surrogate-key purging across 300+ POPs worldwide.

Fastly

Real-time edge cloud platform with instant purge, surrogate keys, VCL-based cache configuration, and the Fastly KV Store for edge state.

Akamai Technologies

Enterprise CDN and edge platform with EdgeKV key-value storage, Ion delivery, and global edge caching across the world's largest distributed network.

Vercel

Frontend cloud with Edge Config, KV (powered by Upstash), and CDN caching for Next.js and other frameworks deployed to its global edge network.

Hazelcast

Open-source in-memory data grid for distributed caching, stream processing, and real-time analytics across clustered Java and polyglot applications.

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Resources

Every other property we hold for Caching — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

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