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DBMS > AllegroGraph vs. Cubrid vs. Dgraph vs. Google Cloud Spanner

System Properties Comparison AllegroGraph vs. Cubrid vs. Dgraph vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSA 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 modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Websiteallegrograph.comcubrid.com (korean)
cubrid.org (english)
dgraph.iocloud.google.com/­spanner
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcubrid.org/­manualsdgraph.io/­docscloud.google.com/­spanner/­docs
DeveloperFranz Inc.CUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.Google
Initial release2004200820162017
Current release8.0, December 202311.0, January 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaGo
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesschema-freeyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesnoyes infoQuery statements complying to ANSI 2011
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
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#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava Stored Proceduresnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSynchronous replication via RaftMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes 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 dataACIDACIDACIDACID infoStrict serializable isolation
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
AllegroGraphCubridDgraphGoogle Cloud Spanner
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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