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DBMS > Citus vs. Hive vs. Microsoft Azure Table Storage vs. PostGIS vs. TinkerGraph

System Properties Comparison Citus vs. Hive vs. Microsoft Azure Table Storage vs. PostGIS vs. TinkerGraph

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasetsSpatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSWide column storeSpatial DBMSGraph DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitewww.citusdata.comhive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablespostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20102012201220052009
Current release8.1, December 20183.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCJava
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 functionalitynoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
RESTful HTTP APITinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infouser defined functions and integration of map-reducenouser defined functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesyes infobased on PostgreSQLno

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More resources
CitusHiveMicrosoft Azure Table StoragePostGISTinkerGraph
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