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DBMS > Citus vs. Google Cloud Spanner vs. ObjectBox vs. RDFox vs. Yanza

System Properties Comparison Citus vs. Google Cloud Spanner vs. ObjectBox vs. RDFox vs. Yanza

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonObjectBox  Xexclude from comparisonRDFox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsHigh performance knowledge graph and semantic reasoning engineTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Graph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.citusdata.comcloud.google.com/­spannergithub.com/­objectbox
objectbox.io
www.oxfordsemantic.techyanza.com
Technical documentationdocs.citusdata.comcloud.google.com/­spanner/­docsdocs.objectbox.iodocs.oxfordsemantic.tech
DeveloperGoogleObjectBox LimitedOxford Semantic TechnologiesYanza
Initial release20102017201720172015
Current release8.1, December 20184.0 (May 2024)6.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialBindings are released under Apache 2.0 infoApache License 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C++
Server operating systemsLinuxhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
Windows
Windows
Data schemeyesyesyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyesno
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infoQuery statements complying to ANSI 2011nonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary native APIRESTful HTTP API
SPARQL 1.1
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonono
Triggersyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication with 3 replicas for regional instances.Data sync between devices allowing occasional connected databases to work completely offlinereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesRoles, resources, and access typesno
More information provided by the system vendor
CitusGoogle Cloud SpannerObjectBoxRDFoxYanza
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CitusGoogle Cloud SpannerObjectBoxRDFoxYanza
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