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DBMS > Citus vs. Microsoft Azure Table Storage vs. openGemini vs. PouchDB

System Properties Comparison Citus vs. Microsoft Azure Table Storage vs. openGemini vs. PouchDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGemini  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSWide column storeTime Series DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.citusdata.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.opengemini.org
github.com/­openGemini
pouchdb.com
Technical documentationdocs.citusdata.comdocs.opengemini.org/­guidepouchdb.com/­guides
DeveloperMicrosoftHuawei and openGemini communityApache Software Foundation
Initial release2010201220222012
Current release8.1, December 20181.1, July 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJavaScript
Server operating systemsLinuxhostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringno
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoView functions in JavaScript
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAdministrators and common users accountsno

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More resources
CitusMicrosoft Azure Table StorageopenGeminiPouchDB
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