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DBMS > CouchDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. Vitess

System Properties Comparison CouchDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. Vitess

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeGraph DBMS
Key-value store
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitecouchdb.apache.orgwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticspostgis.netvitess.io
Technical documentationdocs.couchdb.org/­en/­stablewww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentationvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftMicrosoftThe Linux Foundation, PlanetScale
Initial release20052010201620052013
Current release3.3.3, December 20233.4.2, February 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMIT LicensecommercialOpen Source infoGPL v2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlang.NET and CC++CGo
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
.NEThostedDocker
Linux
macOS
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.nononoyes
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyesyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
F#
Visual Basic
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptyesTransact SQLuser defined functionsyes infoproprietary syntax
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioningSharding, horizontal partitioningyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyesyes infobased on PostgreSQLUsers with fine-grained authorization concept infono user groups or roles

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGISVitess
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