Amazon ElastiCache for Memcached

Managed, Memcached-compatible, in-memory key-value store. Provides sub-millisecond latency to power real-time applications.

Amazon ElastiCache for Memcached is a Memcached-compatible in-memory key-value store service that can be used as a cache or a data store. It delivers the performance, ease-of-use, and simplicity of Memcached. ElastiCache for Memcached is fully managed, scalable, and secure - making it an ideal candidate for use cases where frequently accessed data must be in-memory. It is a popular choice for use cases such as Web, Mobile Apps, Gaming, Ad-Tech, and E-Commerce.


Extreme performance

Amazon ElastiCache for Memcached works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer dedicated nodes, Amazon ElastiCache provides you secure, blazing fast performance.


Secure and Hardened

Amazon ElastiCache for Memcached supports Amazon VPC, enabling you to isolate your cluster to the IP ranges you choose for your nodes, and use them to connect to your application. ElastiCache continuously monitors your nodes and applies the necessary patches to keep your environment secure. Learn more »



Memcached is a widely adopted memory object caching system. ElastiCache is compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service. Learn more about open-source Memcached »


Easily Scalable

Amazon ElastiCache with Memcached includes sharding to scale in-memory cache with up to 20 nodes and 8.14 TiB per cluster. Learn more »


Fully Managed

You no longer need to perform management tasks such as hardware provisioning, software patching, setup, configuration, monitoring, and failure recovery. ElastiCache continuously monitors your clusters to keep your workloads up and running so that you can focus on higher value application development. Learn more »



Amazon ElastiCache for Memcached Cluster Client with Auto Discovery saves you time by simplifying the way an application connects to a Memcached cluster. You no longer need to maintain a list of Memcached node endpoints. Instead, the client connects to a single cluster endpoint and gets configuration information about other nodes. When nodes are added or removed from the cluster, the client reconfigures itself to use the most current set of nodes. This helps minimize downtime by letting you avoiding application restarts. Learn more about Auto Discovery »

How it works

Caching with ElastiCache for Memcached

Use cases


Amazon ElastiCache for Memcached is a great choice for implementing an in-memory cache to decrease access latency, increase throughput, and ease the load off your relational or NoSQL database. Amazon ElastiCache can serve frequently requested items at sub-millisecond response times , and enables you to easily scale for higher loads without growing the costlier backend database layer. Database query results caching, persistent session caching, and full-page caching are all popular examples of caching with ElastiCache for Memcached.


Session Store

Session stores are easy to create with Amazon ElastiCache for Memcached. Simply use the Memcached hash table, that can be distributed across multiple nodes. Scaling the session store is as easy as adding a node and updating the clients to take advantage of the new node.


Learn how Adobe uses ElastiCache to build real-time apps.
Learn how Airbnb uses ElastiCache for sitewide caching.
Learn how AdRoll uses Elasticache for ad serving.
Learn how MLBAM uses ElastiCache for faster analytics.

Get started with ElastiCache for Memcached

Amazon Elasticache for Redis

Sign up for Amazon ElastiCache

Get access to the Amazon ElastiCache Free Tier.
Learn Amazon Elasticache for Redis

Decide which Engine to choose

Get Started with ElastiCache for Redis

Start building with Amazon ElastiCache for Memcached

Begin building with help from the Amazon ElastiCache for Memcached user guide.