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DBMS > CouchDB vs. EsgynDB vs. Microsoft SQL Server vs. SQLite

System Properties Comparison CouchDB vs. EsgynDB vs. Microsoft SQL Server vs. SQLite

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMicrosofts flagship relational DBMSWidely used embeddable, in-process RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitecouchdb.apache.orgwww.esgyn.cnwww.microsoft.com/­en-us/­sql-serverwww.sqlite.org
Technical documentationdocs.couchdb.org/­en/­stablelearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEsgynMicrosoftDwayne Richard Hipp
Initial release2005201519892000
Current release3.3.3, December 2023SQL Server 2022, November 20223.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial inforestricted free version is availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++, JavaC++C
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
server-less
Data schemeschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or datenoyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonoyesno
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnoyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptJava Stored ProceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes infovia file-system locks
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.nonoyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EsgynDBMicrosoft SQL ServerSQLite
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