Tuesday, January 22, 2019

Redis Vs MongoDB

Redis Vs MongoDB

Redis and MongoDB are both non-relational databases but they're of different categories. 

Redis is a Key/Value database, and it's using In-memory storage which makes it super fast. 

MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need. MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time

If your project budget allows you to have enough RAM memory on your environment then the answer is Redis.

Here below we are presenting you the main difference between Redis and MongoDB

Comparison Index Redis MongoDB
Introduction Redis is an in-memory data structure store, used as a database, cache, and message broker. MongoDB is one of the most popular NoSQL databases which follows the document stores structure.
Primary database model Redis follows the key-value store model. MongoDB follows the document store model.
Official Website
Technical Documentation You can get technical documentation of Redis on You can get technical documentation of MongoDB on
Developed By Redis is developed by Salvatore Sanfilippo. MongoDB is developed by MongoDB Inc.
Initial Release Redis is initially released in 2009. MongoDB is also initially released in 2009.
Licence Redis is subscription based and open-source. MongoDB is free to use and open-source.
Cloud based No No
Implementation Language Redis is written and implemented in C language. MongoDB is written and implemented in C++ language.
Server operating systems BSD, Linux, OS X, Windows Linux, OS X, Solaris, Windows
Data Scheme schema-free schema-free
Secondary Indexes No Yes
APIs and other access methods Redis follows proprietary protocol. MongoDB follows proprietary protocol using JSON.
Supported programming languages C, C#, C++, Clojure, Crystal, D, Dart, Elixir, Erlang,Fancy, Go, Haskell, Haxe, Java, JavaScript (Node.js), Lisp, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Prolog, Pure Data, Python, R, Rebol, Ruby, Rust, Scala, Scheme, Smalltalk, Tcl Actionscript, C, C#, C++, Clojure, ColdFusion, D, Dart, Delphi, Erlang, Go, Groovy, Haskell, Java, JavaScript, Lisp, Lua, MatLab Perl, PHP, PowerShell, Prolog, Python, R, Ruby, Scala, Smalltalk
Server-side scripts Lua JavaScript
Triggers No No
Partitioning methods Redis uses Sharding for partition. MongoDB also uses Sharding for partition.
Replication methods Redis follows master-slave replication. MongoDB also follows master-slave replication.
MapReduce No Yes
Consistency concepts Eventual Consistency and Immediate Consistency Eventual Consistency
Foreign keys No No
Transaction concepts Optimistic locking, atomic execution of commands blocks and scripts. No
Concurrency Yes Yes
MapReduce No Yes
Durability Yes Yes
In-memory capabilities Yes Yes
User concepts Simple password-based access control. Access rights for users and roles.
Special Characteristics Redis is ranked as world?s fastest database. It reduces application complexity, simplifies development, accelerates time to market and provides unprecedented flexibility to developers with its visionary data structures and modules. MongoDB is considered as the next-generation database. It successfully helped many businesses to transform their industries by providing big data. The world?s most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible, at a very low cost.
Comparing Advantages Redis is an in-memory database platform provides support of wide range of data structures such as strings, hashes, sets, lists, sorted sets, bitmaps, hyperloglogs, and geospatial indexes. Redis provides effortless scaling in a fully automated manner by overseeing all the operations of sharding, re-sharding, migration. It also includes persistence, instant automatic failure detection, backup and recovery, and in-memory replication across racks, zones, datacenters, regions, and cloud platforms. MongoDB provides the best of traditional databases as well as flexibility, scale, and performance required by today?s applications. MongoDB is a database of giant ideas. MongoDB keeps the most valuable features of Relational database i.e. strong consistency, expressive query language and secondary indexes. It facilitates developers to build highly functional applications faster than NoSQL databases.
Key Customers Key customers of Redis are: Verizon, Vodafone, Atlassian, Trip Advisor,, Nokia, Samsung, HTC, Docker, Staples, Intuit, Groupon, Shutterfly, KPMG, TD Bank, UnitedHealthcare, RingCentral, The Motley Fool, Bleacher Report, HipChat, Salesforce, Hotel Tonight, Cirruspath,, Xignite, Chargify, Rumble Entertainment, Scopely, Havas Digital, Revmob, MSN, Bleacher Report, Mobli, TMZ, Klarna, Shopify etc. Key customers of MongoDB are: ADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs, eBay, eHarmony, Electronic Arts, Expedia, Facebook?s Parse, Forbes, Foursquare, Genentech, MetLife, Pearson, Sage, Salesforce, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless etc.
Market Metrics Redis Labs consists of more than 60000 customers globally and is consistently ranked as a leader in top analyst reports on NoSQL, in-memory and operational databases. Redis is rated as no. 1 cloud database, no.1 database in Docker, no.1 NoSQL datastore, most popular NoSQL database in container.

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