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memcached VS Amazon WorkDocs

Compare memcached VS Amazon WorkDocs and see what are their differences

memcached logo memcached

High-performance, distributed memory object caching system

Amazon WorkDocs logo Amazon WorkDocs

Amazon WorkDocs is a file storage and collaboration service provided by global market behemoth Amazon. It's a direct competitor to the older and more popular Google Docs. Read more about Amazon WorkDocs.
  • memcached Landing page
    Landing page //
    2023-07-23
  • Amazon WorkDocs Landing page
    Landing page //
    2022-03-23

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 WorkDocs features and specs

  • Collaboration
    Amazon WorkDocs allows multiple users to collaborate on documents in real-time, which enhances teamwork and productivity.
  • Security
    It provides robust security features such as data encryption and access control, ensuring that sensitive information is protected.
  • Seamless Integration
    WorkDocs integrates well with other AWS services and third-party applications, making it convenient for users already within the AWS ecosystem.
  • Scalability
    As an AWS service, WorkDocs can easily scale with the needs of your business, accommodating both small teams and large enterprises.
  • Access Anywhere
    Documents stored in WorkDocs can be accessed from anywhere, on various devices, enabling flexibility for remote work.

Possible disadvantages of Amazon WorkDocs

  • Cost
    While competitive, the pricing for WorkDocs can be a concern for small businesses, especially those with tight budgets or limited user numbers.
  • Limited Features
    Compared to other document management systems, WorkDocs may offer fewer advanced features, which can be a limitation for some organizations.
  • User Interface
    Some users find the WorkDocs user interface less intuitive and more challenging to navigate compared to other popular document management solutions.
  • Dependency on AWS Ecosystem
    Organizations not already utilizing AWS services may find integration less straightforward, as WorkDocs is optimized for existing AWS users.
  • Initial Setup Complexity
    Setting up the service and managing permissions might require technical expertise, which could be a hurdle for small businesses without dedicated IT staff.

Analysis of memcached

Overall verdict

  • Memcached is a solid choice for applications that require distributed caching to improve scalability and performance. It's particularly beneficial for web applications handling high traffic and needing fast, efficient data retrieval.

Why this product is good

  • Memcached is considered good due to its high performance, simplicity, and effectiveness in enhancing the speed of dynamic web applications by alleviating database load. It operates by storing data in memory, which allows for quick retrieval of cached objects and reduces the need to frequently query the database. Its distributed architecture, open-source nature, and widespread language support make it a flexible and reliable choice for caching.

Recommended for

  • Web developers looking to improve the speed and scalability of applications.
  • Organizations needing a simple and effective caching solution to reduce database load.
  • Projects that demand quick deployment of a caching solution with support across multiple programming languages.

memcached videos

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

Amazon WorkDocs videos

No Amazon WorkDocs videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to memcached and Amazon WorkDocs)
Databases
89 89%
11% 11
NoSQL Databases
88 88%
12% 12
Key-Value Database
100 100%
0% 0
Graph Databases
68 68%
32% 32

User comments

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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 WorkDocs

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 WorkDocs Reviews

We have no reviews of Amazon WorkDocs yet.
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Social recommendations and mentions

Based on our record, memcached seems to be a lot more popular than Amazon WorkDocs. While we know about 36 links to memcached, we've tracked only 1 mention of Amazon WorkDocs. 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 / 3 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 / 4 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 / 4 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 / 8 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 WorkDocs mentions (1)

  • Ask HN: What software do you use to gather requirements?
    What a lot of teams in my company do is have a less formal part (more like brainstorming) done with Quip (https://quip.com/) before having the more formal part in Amazon WorkDocs (https://aws.amazon.com/workdocs/... Disclaimer, I work for Amazon). Workdocs is a pretty good tool for versioning, commenting on and sharing Word documents, but it's not great for multiple people working on a document at the same time.... - Source: Hacker News / almost 4 years ago

What are some alternatives?

When comparing memcached and Amazon WorkDocs, 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.

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.

CouchBase - Document-Oriented NoSQL Database

CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication