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DBMS > CouchDB vs. Hive vs. Prometheus vs. Quasardb vs. Tkrzw

System Properties Comparison CouchDB vs. Hive vs. Prometheus vs. Quasardb vs. Tkrzw

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecouchdb.apache.orghive.apache.orgprometheus.ioquasar.aidbmx.net/­tkrzw
Technical documentationdocs.couchdb.org/­en/­stablecwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software Foundation infoinitially developed by FacebookquasardbMikio Hirabayashi
Initial release20052012201520092020
Current release3.3.3, December 20233.1.3, April 20223.14.1, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaGoC++C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesNumeric data onlyyes infointeger and binaryno
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.nono infoImport of XML data possiblenono
Secondary indexesyes infovia viewsyesnoyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptyes infouser defined functions and integration of map-reducenonono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenonoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailno

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