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DBMS > CouchDB vs. HBase vs. Hive vs. KairosDB

System Properties Comparison CouchDB vs. HBase vs. Hive vs. KairosDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument storeWide column storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitecouchdb.apache.orghbase.apache.orghive.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.couchdb.org/­en/­stablehbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by Facebook
Initial release2005200820122013
Current release3.3.3, December 20232.3.4, January 20213.1.3, April 20221.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaJavaJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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 viewsnoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleSingle row ACID (across millions of columns)nono
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolessimple password-based access control

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