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DBMS > CouchDB vs. etcd vs. Informix vs. YTsaurus

System Properties Comparison CouchDB vs. etcd vs. Informix vs. YTsaurus

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonetcd  Xexclude from comparisonInformix  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed reliable key-value storeA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeKey-value storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBDocument store
Key-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitecouchdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­informixytsaurus.tech
Technical documentationdocs.couchdb.org/­en/­stableetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
informix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
ytsaurus.tech/­docs/­en
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Yandex
Initial release200519842023
Current release3.3.3, December 20233.4, August 201914.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangGoC, C++ and JavaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Ubuntu
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes infoSince Version 12.10 support for JSON/BSON datatypesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infovia viewsnoyes
SQL infoSupport of SQLnonoyesYQL, an SQL-based language, is supported
APIs and other access methodsRESTful HTTP/JSON APIgRPC
JSON over HTTP
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnoyes
Triggersyesyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoUsers with fine-grained authentication, authorization, and auditing controlsAccess Control Lists

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