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DBMS > Apache Doris vs. Citus vs. Postgres-XL

System Properties Comparison Apache Doris vs. Citus vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCitus  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.citusdata.comwww.postgres-xl.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.citusdata.comwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation, originally contributed from Baidu
Initial release201720102014 infosince 2012, originally named StormDB
Current release1.2.2, February 20238.1, December 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC
Server operating systemsLinuxLinuxLinux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infospecific XML type available, but no XML query functionalityyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DorisCitusPostgres-XL
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10 July 2023, Datanami

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24 January 2019, blogs.microsoft.com

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