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DBMS > CouchDB vs. Cubrid vs. Lovefield vs. mSQL vs. Sphinx

System Properties Comparison CouchDB vs. Cubrid vs. Lovefield vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  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 OLTPEmbeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.26
Rank#45  Overall
#7  Document stores
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitecouchdb.apache.orgcubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationdocs.couchdb.org/­en/­stablecubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCUBRID Corporation, CUBRID FoundationGoogleHughes TechnologiesSphinx Technologies Inc.
Initial release20052008201419942001
Current release3.3.3, December 202311.0, January 20212.1.12, February 20174.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC, C++, JavaJavaScriptCC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 viewsyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
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
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions in JavaScriptJava Stored Proceduresnonono
TriggersyesyesUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0nonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesnoyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnonono

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CubridLovefieldmSQL infoMini SQLSphinx
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