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DBMS > Cubrid vs. EventStoreDB vs. OrigoDB vs. Postgres-XL

System Properties Comparison Cubrid vs. EventStoreDB vs. OrigoDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPIndustrial-strength, open-source database solution built from the ground up for event sourcing.A fully ACID in-memory object graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSEvent StoreDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.eventstore.comorigodb.comwww.postgres-xl.org
Technical documentationcubrid.org/­manualsdevelopers.eventstore.comorigodb.com/­docswww.postgres-xl.org/­documentation
DeveloperCUBRID Corporation, CUBRID FoundationEvent Store LimitedRobert Friberg et al
Initial release200820122009 infounder the name LiveDB2014 infosince 2012, originally named StormDB
Current release11.0, January 202121.2, February 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC#C
Server operating systemsLinux
Windows
Linux
Windows
Linux
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NETyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesuser defined functions
Triggersyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
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-standardRole based authorizationfine grained access rights according to SQL-standard

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