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DBMS > Cubrid vs. Dgraph vs. FeatureBase vs. Tkrzw

System Properties Comparison Cubrid vs. Dgraph vs. FeatureBase vs. Tkrzw

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonFeatureBase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
dgraph.iowww.featurebase.comdbmx.net/­tkrzw
Technical documentationcubrid.org/­manualsdgraph.io/­docsdocs.featurebase.com
DeveloperCUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.Molecula and Pilosa Open Source ContributorsMikio Hirabayashi
Initial release2008201620172020
Current release11.0, January 20212022, May 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaGoGoC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
macOS
Linux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL queriesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via Raftyesnone
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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesno

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More resources
CubridDgraphFeatureBaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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