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DBMS > Citus vs. OushuDB vs. PostGIS vs. Sequoiadb vs. TimescaleDB

System Properties Comparison Citus vs. OushuDB vs. PostGIS vs. Sequoiadb vs. TimescaleDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonOushuDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSpatial extension of PostgreSQLNewSQL database with distributed OLTP and SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSSpatial DBMSDocument store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.citusdata.comwww.oushu.com/­product/­oushuDBpostgis.netwww.sequoiadb.comwww.timescale.com
Technical documentationdocs.citusdata.comwww.oushu.com/­documentationpostgis.net/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.timescale.com
DeveloperOushuSequoiadb Ltd.Timescale
Initial release2010200520132017
Current release8.1, December 20184.0.1, August 20203.4.2, February 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL v2.0Open Source infoServer: AGPL; Client: Apache V2Open 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 languageCCC++C
Server operating systemsLinuxLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 functionalityyesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsFull-featured ANSI SQL supportyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
.Net
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesuser defined functionsJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes infobased on PostgreSQLShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infobased on PostgreSQLSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlfine grained access rights according to SQL-standardKerberos, SSL and role based accessyes infobased on PostgreSQLsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
CitusOushuDBPostGISSequoiadbTimescaleDB
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