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DBMS > Cubrid vs. Datastax Enterprise vs. Linter vs. PostGIS

System Properties Comparison Cubrid vs. Datastax Enterprise vs. Linter vs. PostGIS

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonLinter  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.RDBMS for high security requirementsSpatial extension of PostgreSQL
Primary database modelRelational DBMSWide column storeRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.datastax.com/­products/­datastax-enterpriselinter.rupostgis.net
Technical documentationcubrid.org/­manualsdocs.datastax.compostgis.net/­documentation
DeveloperCUBRID Corporation, CUBRID FoundationDataStaxrelex.ru
Initial release2008201119902005
Current release11.0, January 20216.8, April 20203.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageC, C++, JavaJavaC and C++C
Server operating systemsLinux
Windows
Linux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"noneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standardyes infobased on PostgreSQL
More information provided by the system vendor
CubridDatastax EnterpriseLinterPostGIS
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
CubridDatastax EnterpriseLinterPostGIS
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