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Difference Between Memcached and Redis

January 7, 2018 Posted by Lithmee

Key Difference – Memcached vs Redis
 

A relational database is a common database type, but it is not suitable for storing a large quantity of data. Therefore, NoSQL was introduced. It stands for a non-relational or non-SQL. Memcached and Redis are categorized as NoSQL. The key difference between Memcached and Redis is that Memcached is an open source, high performance distributed memory caching system which can speed up web applications by minimising database loads while Redis is an open source, key-value store for building scalable web applications. This article discusses the difference between Memcached and Redis.

CONTENTS

1. Overview and Key Difference
2. What is Memcached
3. What is Redis
4. Similarities Between Memcached and Redis
5. Side by Side Comparison – Memcached vs Redis in Tabular Form
6. Summary

What is Memcached?

Memcached is an open source, high performance, distributed memory caching system. It is a persistent data store. The main advantage of Memcached is that it reduces the database load, so it is quite efficient and faster for websites with high database loads.

In Memcached, there are storage commands, retrieval commands and statistics commands. Some storage commands are set, add, append etc. The “set” command is used to set a new value to a new or existing key. The “add ” command is used to set a value to a new key. The “replace” command is to replace the value of an existing key. The “append” command can add some data to an existing key. The “get”, “delete” are retrieval commands. The “get” command is used to get the value stored in a key. The “delete” can be used to delete an existing key.

What is Redis?

It is an open source, in-memory data structure store, used as a database, cache, and message broker. Redis stands for remote dictionary server. It stores data in key-value format. To communicate with the database, the user should use commands. Commands are given using Redis Command Line Interface (CLI). For example, department=”IT”. Here, the department is the key and “IT” is the value. The user can write data to Redis data store using the command, “SET”. e.g. SET “department” “IT”. Redis set the data according to the key value. The user can read data with the “GET” command. e.g. GET “department”. Redis returns the value corresponding to that key.

Redis is simple and easy to use. It is categorized as NoSQL database. Unlike relational database systems like MySQL, Oracle, the Redis does not use tables to store data. It does not use regular SQL commands such as select, delete, create, update etc. It uses data structures to store data. Main data structures are String, Lists, Sets, Sorted Sets and Hashes, bitmaps etc. Redis is written in C language, and it is open source cross-platform system.

Difference Between Memcached and Redis

Figure 01: Redis

The main advantage of Redis is that it keeps the data in the memory. This makes Redis fast. It also can write data to the disk. It can be used as a caching system or a fully-fledged database. Another advantage is that it can be used along with another database. Rather than accessing the main database, Redis can store frequently accessing data, and the rest of the data can be fetched from the main database. It follows master-slave architecture. It provides performance, scalability and it is easy to use.

What are the Similarities Between Memcached and Redis?

  • Both are categorised as NoSQL.
  • Both store data in the format of key-value.
  • Both can store data in memory.

What is the Difference Between Memcached and Redis?

Memcached vs Redis

Memcached is an open source, high performance, distributed memory caching system that can speed up web applications by reducing database load. Redis is an open source, key-value store that can be used as a database, cache, and a message broker.
 Use
Memcached is hard to install than Redis. Redis is easier to install and use.
Replication
Memcached does not support replications. Redis supports master-slave replications.
 Data Types
Memcached has string and integers as data types. Redis has more data types such as strings, Lists, Hashes etc.
Speed
Memcached’s read/write speed is higher than Redis. Redis’s read/write speed is fast, but it depends on the application being developed.

Summary – Memcached vs Redis 

Memcached and Redis are categoried as NoSQL. They do not use Structured Query Language for data storing, retrieving and manipulation. The difference between Memcached and Redis is that Memcached is an open source, high performance distributed memory caching system and Redis is an open source, key-value store for building scalable web applications. Using Memcached or Redis depends on the application. Redis can be used when advanced data structures are required. Memcached is useful in decreasing the database loads and speeding up web applications.

Download the PDF Version of Memcached vs Redis

You can download PDF version of this article and use it for offline purposes as per citation note. Please download PDF version here Difference Between Memcached and Redis

Reference:

1.ProgrammingKnowledge. YouTube, YouTube, 16 July 2017. Available here
2.Gaurav Agrawal, Software Engineer at Webdunia, Drupal Developer Follow. “Redis vs Memcached.” LinkedIn SlideShare, 23 Oct. 2015. Available here 
3.YouTube, Raghav Pal, 24 Apr. 2017. Available here

Image Courtesy:

1.’redis’ by othree (CC BY 2.0) via Flickr

 

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Difference Between SQL Server 2008 and Express Difference Between Explicit Cursor and Implicit Cursor Difference Between PL-SQL and T-SQL Difference Between Arraylist and Vector Difference Between Normalization and Denormalization

Filed Under: Database Tagged With: Compare Memcached and Redis, Memcached, Memcached and Redis Differences, Memcached and Redis Similarities, Memcached Definition, Memcached Replication, Memcached Speed, Memcached Use, Memcached vs Redis, Redis, Redis Definition, Redis Replication, Redis Speed, Redis Use, remote dictionary server

About the Author: Lithmee

Lithmee Mandula is a BEng (Hons) graduate in Computer Systems Engineering. She is currently pursuing a Master’s Degree in Computer Science. Her areas of interests in writing and research include programming, data science, and computer systems.

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