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memcached VS Amazon CloudSearch

Compare memcached VS Amazon CloudSearch and see what are their differences

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memcached logo memcached

High-performance, distributed memory object caching system

Amazon CloudSearch logo Amazon CloudSearch

Amazon CloudSearch is a fully-managed service in the cloud that makes it easy to set up, manage, and scale a search solution for your website.
  • memcached Landing page
    Landing page //
    2023-07-23
  • Amazon CloudSearch Landing page
    Landing page //
    2023-03-12

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 CloudSearch features and specs

  • Easy Setup
    Amazon CloudSearch is designed to be easy to set up and manage. You can quickly configure a search domain, upload data, and begin searching, reducing the time to market for your applications.
  • Scalability
    The service automatically scales resources up and down based on the volume of data and the rate of traffic, ensuring your search application can handle varying loads without manual intervention.
  • Fully Managed
    As a fully managed service, Amazon CloudSearch handles all the heavy lifting associated with maintaining and scaling servers, performing software patches, and monitoring health metrics.
  • Search Features
    Amazon CloudSearch supports multiple search features out-of-the-box, including faceting, highlighting, and autocomplete, providing a rich search experience without requiring custom implementations.
  • Integration with AWS Ecosystem
    It seamlessly integrates with other AWS services like S3, DynamoDB, and Kinesis, making it straightforward to ingest and process data from various sources within your AWS environment.

Possible disadvantages of Amazon CloudSearch

  • Limited Customization
    Compared to other search solutions like Elasticsearch, Amazon CloudSearch offers fewer customization options and advanced features, which might be restrictive for complex search requirements.
  • Cost
    Although pricing can be competitive, the cost can quickly escalate with large datasets and high query volumes, and it may not be as cost-effective as other solutions depending on your usage patterns.
  • Less Community Support
    Amazon CloudSearch has a smaller community and fewer third-party plugins compared to more popular search engines like Elasticsearch, making it harder to find quick solutions and best practices through community support.
  • Performance
    In some scenarios, users have reported that Amazon CloudSearch can be slower in performance compared to other search engines, particularly for complex queries or large datasets.
  • Limited Offline Capabilities
    Because it's a managed service, there's limited control over offline access or local development environments. This can be a hindrance if you need to debug or test changes without affecting the live environment.

memcached videos

+ Add

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

Amazon CloudSearch videos

+ Add

Getting Started with Amazon CloudSearch

More videos:

  • Review - Getting Started with Amazon CloudSearch: Product Tour Screencast

Category Popularity

0-100% (relative to memcached and Amazon CloudSearch)

memcached

Amazon CloudSearch

Databases
100 100%
Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using memcached and Amazon CloudSearch. For example, how are they different and which one is better?
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Reviews

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

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...
Source: news.ycombinator.com
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...
Source: engineering.kablamo.com.au
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...
Source: www.infoworld.com

Amazon CloudSearch Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Amazon CloudSearch comes with all the popular search features such as auto-complete, intelligent text processing, custom indexing, and geospatial search. It also supports 34 languages, which makes it an excellent solution for businesses that cater to an international audience or intend to expand globally.
Source: influencermarketinghub.com
Make Your WordPress Search Powerful with Algolia and 9 others
AWS CloudSearch is scalable and known for its high performance. Pricing is based on the usage and pays as you go.
Source: geekflare.com

Social recommendations and mentions

Based on our record, memcached should be more popular than Amazon CloudSearch. 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 / 9 months ago
View more

Amazon CloudSearch mentions (4)

  • How does a large application's search functionality work? ELI5
    Personally, rather than trying to implement this functionality myself from scratch I would use something like Amazon CloudSearch that supports autocomplete suggestions for things that have been added to it. Source: almost 2 years ago
  • How Should I Build a Search Bar
    TL;DR: Dynamo is "bad" for searching. Use something else ( Elastic, CloudSearch ) if you don't know what you're doing. Source: about 3 years ago
  • Ask HN: Why is search on Amazon so bad?
    Maybe they use: 
      https://aws.amazon.com/cloudsearch/
    . - Source: Hacker News / over 3 years ago
  • Options for serverless search?
    There is also Amazon CloudSearch as a managed search service but it does seem kind of abandoned from the looks of its landing page. Source: over 3 years ago

What are some alternatives?

When comparing memcached and Amazon CloudSearch, 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.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

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

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

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

Swiftype - The simplest way to add search to your website or application. Sign up for free.

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