DBMS > CouchDB vs. MySQL vs. Redis vs. Vitess
System Properties Comparison CouchDB vs. MySQL vs. Redis vs. Vitess
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Name | CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison | MySQL Xexclude from comparison | Redis Xexclude from comparison | Vitess Xexclude from comparison | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones. | Widely used open source RDBMS | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | Scalable, distributed, cloud-native DBMS, extending MySQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Relational DBMS Key/Value like access via memcached API | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Relational DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS using the Geocouch extension | Document store Spatial DBMS | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | Document store Spatial DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | couchdb.apache.org | www.mysql.com | redis.com redis.io | vitess.io | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.couchdb.org/en/stable | dev.mysql.com/doc | docs.redis.com/latest/index.html redis.io/docs | vitess.io/docs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer | Oracle since 2010, originally MySQL AB, then Sun | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | The Linux Foundation, PlanetScale | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2005 | 1995 | 2009 | 2013 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 3.3.3, December 2023 | 8.4.0, April 2024 | 7.2.5, May 2024 | 15.0.2, December 2022 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache version 2 | Open Source GPL version 2. Commercial licenses with extended functionallity are available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source Apache Version 2.0, commercial licenses available | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Erlang | C and C++ | C | Go | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Android BSD Linux OS X Solaris Windows | FreeBSD Linux OS X Solaris Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Docker Linux macOS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | yes | schema-free | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | no | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes via views | yes | yes with RediSearch module | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | yes with proprietary extensions | with RediSQL module | yes with proprietary extensions | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP/JSON API | ADO.NET JDBC ODBC Proprietary native API | proprietary protocol RESP - REdis Serialization Protocol | ADO.NET JDBC MySQL protocol ODBC | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | View functions in JavaScript | yes proprietary syntax | Lua; Redis Functions coming in Redis 7 (slides and Github) | yes proprietary syntax | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | yes | publish/subscribe channels provide some trigger functionality; RedisGears | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding improved architecture with release 2.0 | horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | Multi-source replication Source-replica replication | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | Multi-source replication Source-replica replication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | through RedisGears | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Eventual Consistency across shards Immediate Consistency within a shard | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes not for MyISAM storage engine | no | yes not for MyISAM storage engine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no atomic operations within a single document possible | ACID not for MyISAM storage engine | Atomic execution of command blocks and scripts and optimistic locking | ACID at shard level | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes strategy: optimistic locking | yes table locks or row locks depending on storage engine | yes Data access is serialized by the server | yes table locks or row locks depending on storage engine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users can be defined per database | Users with fine-grained authorization concept no user groups or roles | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | Users with fine-grained authorization concept no user groups or roles | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | MySQL | Redis | Vitess | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | How to install the CouchDB NoSQL database on Debian Server 11 IBM Cloudant pulls plan to fund new foundational layer for CouchDB CouchDB 3.0 ends admin party era • DEVCLASS Tracking Expenses with CouchDB and Angular — SitePoint How to Connect Your Flask App With CouchDB: A NoSQL Database - MUO provided by Google News | Early MySQL engineer questions whether Oracle is unintentionally killing off the open source database Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ... Enterprise Manager: How Comcast enhanced monitoring for MySQL InnoDB Clusters Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs How to Create a MySQL 8 Database User With Remote Access provided by Google News | Redis moves to source-available licenses Redis switches licenses, acquires Speedb to go beyond its core in-memory database Redis acquires storage engine startup Speedb to enhance its open-source database Redis expands data management capabilities with Speedb acquisition – Blocks and Files Linux Foundation marshals support for open source alternative to Redis provided by Google News | PlanetScale Unveils Distributed MySQL Database Service Based on Vitess PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes They scaled YouTube -- now they’ll shard everyone with PlanetScale With Vitess 4.0, database vendor matures cloud-native platform Massively Scaling MySQL Using Vitess provided by Google News |
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