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DBMS > CouchDB vs. Cubrid vs. Hive vs. mSQL vs. Spark SQL

System Properties Comparison CouchDB vs. Cubrid vs. Hive vs. mSQL vs. Spark SQL

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonCubrid  Xexclude from comparisonHive  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPdata warehouse software for querying and managing large distributed datasets, built on HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational 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
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitecouchdb.apache.orgcubrid.com (korean)
cubrid.org (english)
hive.apache.orghughestech.com.au/­products/­msqlspark.apache.org/­sql
Technical documentationdocs.couchdb.org/­en/­stablecubrid.org/­manualscwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCUBRID Corporation, CUBRID FoundationApache Software Foundation infoinitially developed by FacebookHughes TechnologiesApache Software Foundation
Initial release20052008201219942014
Current release3.3.3, December 202311.0, January 20213.1.3, April 20224.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree licenses can be providedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC, C++, JavaJavaCScala
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononono
Secondary indexesyes infovia viewsyesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptJava Stored Proceduresyes infouser defined functions and integration of map-reducenono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and rolesnono

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CubridHivemSQL infoMini SQLSpark SQL
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