Software Alternatives, Accelerators & Startups

memcached VS Amazon ElastiCache

Compare memcached VS Amazon ElastiCache and see what are their differences

memcached logo memcached

High-performance, distributed memory object caching system

Amazon ElastiCache logo Amazon ElastiCache

Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores.
  • memcached Landing page
    Landing page //
    2023-07-23
  • Amazon ElastiCache Landing page
    Landing page //
    2023-04-28

memcached features and specs

  • High Performance
    Memcached is incredibly fast and efficient at caching data in memory, enabling quick data retrieval and reducing the load on databases. Its in-memory nature significantly reduces latency.
  • Scalability
    Memcached can be easily scaled horizontally by adding more nodes to the caching cluster. This allows it to handle increased loads and large datasets without performance degradation.
  • Simplicity
    Memcached has a simple design and API, making it easy to implement and use. Developers can quickly integrate it into their applications without a steep learning curve.
  • Open Source
    Memcached is free and open-source software, which means it can be used and modified without any licensing fees. This makes it a cost-effective solution for caching.
  • Language Agnostic
    Memcached supports multiple programming languages through various client libraries, making it versatile and suitable for use in diverse tech stacks.

Possible disadvantages of memcached

  • Data Volatility
    Memcached stores data in RAM, so all cached data is lost if the server is restarted or crashes. This makes it unsuitable for storing critical or persistent data.
  • Limited Data Types
    Memcached primarily supports simple key-value pairs. It lacks the rich data types and more complex structures supported by some other caching solutions like Redis.
  • No Persistence
    Memcached does not offer any data persistence features. It cannot save data to disk, so all information is ephemeral and will be lost on system reset.
  • Size Limitation
    Memcached has a memory limit for each instance, thus, large-scale applications may need to manage multiple instances and ensure data is properly distributed.
  • Security
    Memcached does not provide built-in security features such as authentication or encryption. This can be a concern in environments where data privacy and security are critical.

Amazon ElastiCache features and specs

  • Scalability
    Amazon ElastiCache allows for seamless scaling of your cache cluster. You can easily add or remove nodes to adjust to the workload demands, ensuring efficient resource management.
  • Managed Service
    ElastiCache is fully managed by AWS, meaning that infrastructure tasks such as hardware provisioning, patching, and maintenance are handled by Amazon, reducing operational overhead for users.
  • High Performance
    Designed for delivering low latency and high throughput, ElastiCache can significantly improve the performance of applications by reducing the time to retrieve data from databases.
  • Compatibility
    It supports popular caching engines such as Redis and Memcached, allowing users to work with familiar technologies and migrate existing setups to the AWS environment with ease.
  • Security and Compliance
    ElastiCache provides robust security features including VPC integration, data encryption, and IAM policies, helping to ensure compliance with various industry standards.

Possible disadvantages of Amazon ElastiCache

  • Cost
    As a premium managed service, ElastiCache can become expensive, especially for large-scale deployments or when utilizing advanced features, which may not be ideal for all budget constraints.
  • Limited Customization
    Because it is a managed service, there are limits to the customization of infrastructure and configurations when compared to self-managed solutions, which might not accommodate all specific needs.
  • Dependency on AWS Ecosystem
    Using ElastiCache ties your infrastructure to AWS, which might not be suitable for organizations seeking a multi-cloud strategy or those who wish to avoid vendor lock-in.
  • Learning Curve
    New users may face a learning curve, especially if they are not already familiar with AWS services and console navigation, potentially requiring additional training or support.
  • Regional Limitations
    Not all features may be available in every AWS region, which could impact global deployments and necessitate strategic planning for distribution and redundancy.

memcached videos

Course Preview: Using Memcached and Varnish to Speed Up Your Linux Web App

Amazon ElastiCache videos

Introduction to Amazon ElastiCache for Redis

More videos:

  • Review - AWS re:Invent 2019: Supercharge your real-time apps with Amazon ElastiCache (DAT208)

Category Popularity

0-100% (relative to memcached and Amazon ElastiCache)
Databases
76 76%
24% 24
NoSQL Databases
78 78%
22% 22
Key-Value Database
86 86%
14% 14
Graph Databases
71 71%
29% 29

User comments

Share your experience with using memcached and Amazon ElastiCache. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare memcached and Amazon ElastiCache

memcached Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
Quick ask: I don’t see “some” of the other offering out there like MemCached… what was the criteria used to select these? I don’t see any source of how the test where run, specs of the systems, how the DB where set up, etc. Would be very valuable to have in order to attempt to re-validate these test on our own platform. I also came back and saw some of your updates...
Memcached vs Redis - More Different Than You Would Expect
So knowing how the difference between Redis and memcached in-memory usage, lets see what this means. Memcached slabs once assigned never change their size. This means it is possible to poison your memcached cluster and really waste memory. If you load your empty memcached cluster with lots of 1 MB items, then all of the slabs will be allocated to that size. Adding a 80 KB...
Redis vs. Memcached: In-Memory Data Storage Systems
Memcached itself does not support distributed mode. You can only achieve the distributed storage of Memcached on the client side through distributed algorithms such as Consistent Hash. The figure below demonstrates the distributed storage implementation schema of Memcached. Before the client side sends data to the Memcached cluster, it first calculates the target node of the...
Source: medium.com
Why Redis beats Memcached for caching
Both Memcached and Redis are mature and hugely popular open source projects. Memcached was originally developed by Brad Fitzpatrick in 2003 for the LiveJournal website. Since then, Memcached has been rewritten in C (the original implementation was in Perl) and put in the public domain, where it has become a cornerstone of modern Web applications. Current development of...

Amazon ElastiCache Reviews

Comparing the new Redis6 multithreaded I/O to Elasticache & KeyDB
KeyDB was introduced nearly a year ago as a multithreaded fork of Redis with major performance gains. Soon after Amazon announced their enhanced io handling for Redis using Elasticache. Redis is now in the process of releasing their multithreaded io option in version 6.0. Unlike Redis6 and Elasticache, KeyDB multithreads several aspects including placing the event loop on...
Source: docs.keydb.dev

Social recommendations and mentions

Based on our record, memcached should be more popular than Amazon ElastiCache. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

memcached mentions (36)

  • MySQL Performance Tuning Techniques
    Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / 2 months ago
  • 10 Best Practices for API Rate Limiting in 2025
    In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / 3 months ago
  • Outgrowing Postgres: Handling increased user concurrency
    A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / 3 months ago
  • API Caching: Techniques for Better Performance
    Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / 7 months ago
  • story of upgrading rails 5.x to 7.x
    The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache. - Source: dev.to / 8 months ago
View more

Amazon ElastiCache mentions (13)

  • Setting up Ruby on Rails with RVM, Puma, Mina, Nginx, Sidekiq and Redis on Amazon Linux 2
    Sidekiq (For background jobs processing)+ Redis (As persistence engine for Sidekiq). Since you are in AWS ecosystem you could also use Elasticache instead of local Redis, just parameterize correctly your Sidekiq if you want to do so. - Source: dev.to / 6 months ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / over 1 year ago
  • How to Effectively Use Caching to Improve Microservices Performance
    Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / over 1 year ago
  • AWS Beginner's Key Terminologies
    Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 2 years ago
  • Amazon DynamoDB Accelerator (DAX) vs ElastiCache : Which One to Use?
    Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 2 years ago
View more

What are some alternatives?

When comparing memcached and Amazon ElastiCache, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.