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DBMS > Cubrid vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. IBM Db2

System Properties Comparison Cubrid vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. IBM Db2

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelRelational DBMSGraph DBMSRelational DBMSWide column storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#158  Overall
#77  Relational DBMS
Score1.81
Rank#127  Overall
#10  Graph DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score3.98
Rank#85  Overall
#6  Wide column stores
Score166.56
Rank#7  Overall
#5  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
dgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.ibm.com/­analytics/­db2
Technical documentationcubrid.org/­manualsdgraph.io/­docscloud.google.com/­bigtable/­docswww.ibm.com/­support/­knowledgecenter/­SSEPGG
DeveloperCUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.EsgynGoogleIBM
Initial release20082016201520151983 infohost version
Current release11.0, January 202112.1, October 2016
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0commercialcommercialcommercial infofree version is available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaGoC++, JavaC and C++
Server operating systemsLinux
Windows
Linux
OS X
Windows
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresJava Stored ProceduresnoJava Stored Proceduresnoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
CubridDgraphEsgynDBGoogle Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
CubridDgraphEsgynDBGoogle Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2
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