StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Amazon ElastiCache vs Memcached

Amazon ElastiCache vs Memcached

OverviewComparisonAlternatives

Overview

Amazon ElastiCache
Amazon ElastiCache
Stacks1.3K
Followers1.0K
Votes151
Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K

Amazon ElastiCache vs Memcached: What are the differences?

Introduction: In this comparison, we will explore the key differences between Amazon ElastiCache and Memcached, two popular in-memory caching systems used to improve the performance of web applications.

  1. Deployment and Management: One major difference between Amazon ElastiCache and Memcached is the deployment and management process. ElastiCache is a fully managed service provided by Amazon Web Services (AWS) which means that the setup, maintenance, and scaling of the caching system are handled by AWS. On the other hand, Memcached is an open-source caching system that requires manual deployment and management, where developers have to set up and maintain Memcached instances themselves.

  2. Compatibility: Another key difference is the compatibility of these caching systems. ElastiCache is specifically designed to integrate seamlessly with AWS services, such as Amazon RDS, Amazon EC2, and Amazon CloudFront. It provides native support for these services, allowing easy integration and leveraging various AWS features. Memcached, being open-source, can be deployed on any infrastructure or cloud platform, providing more flexibility in terms of compatibility and integration options.

  3. Scalability: Scalability is an area where Amazon ElastiCache has a significant advantage. Due to its managed nature, ElastiCache provides simple scaling options that allow users to easily increase or decrease the capacity of their caching system based on demand. It supports auto-scaling, which automatically adjusts the resources based on usage patterns. On the other hand, Memcached requires manual intervention for scaling, where developers have to add or remove instances to accommodate the increasing or decreasing workload.

  4. Data Persistence: ElastiCache supports data persistence, which means that even if an instance fails, the data stored in the cache is preserved and can be recovered. It offers two persistence options: Snapshots and Automatic Backup. Snapshots allow users to take manual backups of the cache data, while Automatic Backup automatically takes backups at regular intervals. Memcached, being an in-memory caching system, does not provide built-in data persistence. If a Memcached instance fails, all the data stored in that instance is lost.

  5. Security and Access Control: ElastiCache offers robust security features to protect the cache data. It supports Virtual Private Cloud (VPC) for enhanced network security and encryption at rest using AWS Key Management Service (KMS). It also provides access control through AWS Identity and Access Management (IAM), allowing fine-grained control over who can access the caching system. Memcached, being open-source, does not provide these advanced security features by default and requires the developers to implement their own security measures.

  6. Monitoring and Metrics: Amazon ElastiCache provides comprehensive monitoring and metrics through integration with AWS CloudWatch. It allows users to monitor the performance, health, and resource utilization of their caching system. It also provides alarm and notifications based on custom-defined thresholds. With Memcached, monitoring and metrics capabilities are not included by default and need to be implemented separately using third-party tools or manual methods.

In summary, Amazon ElastiCache is a fully managed service provided by AWS, offering easy deployment, compatibility with AWS services, auto-scaling, data persistence, advanced security features, and comprehensive monitoring capabilities. Memcached, being an open-source solution, requires manual deployment and management, provides more flexibility in terms of compatibility, lacks auto-scaling and data persistence options, and does not offer advanced security features and built-in monitoring capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Amazon ElastiCache
Amazon ElastiCache
Memcached
Memcached

ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

Support for two engines: Memcached and Redis;Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.;Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.;Detailed monitoring statistics for the engine nodes at no extra cost via Amazon CloudWatch;Pay only for the resources you consume based on node hours used
-
Statistics
GitHub Stars
-
GitHub Stars
14.0K
GitHub Forks
-
GitHub Forks
3.3K
Stacks
1.3K
Stacks
7.9K
Followers
1.0K
Followers
5.7K
Votes
151
Votes
473
Pros & Cons
Pros
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
Pros
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
Cons
  • 2
    Only caches simple types

What are some alternatives to Amazon ElastiCache, Memcached?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase