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DBMS > AgensGraph vs. Cubrid vs. Google Cloud Spanner

System Properties Comparison AgensGraph vs. Cubrid vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#322  Overall
#30  Graph DBMS
#143  Relational DBMS
Score0.97
Rank#192  Overall
#88  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Websitebitnine.net/­agensgraphcubrid.com (korean)
cubrid.org (english)
cloud.google.com/­spanner
Technical documentationbitnine.net/­documentationcubrid.org/­manualscloud.google.com/­spanner/­docs
DeveloperBitnine Global Inc.CUBRID Corporation, CUBRID FoundationGoogle
Initial release201620082017
Current release2.1, December 201811.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++, Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
hosted
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infoQuery statements complying to ANSI 2011
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AgensGraphCubridGoogle Cloud Spanner
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