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DBMS > 4D vs. Google Cloud Spanner vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Virtuoso

System Properties Comparison 4D vs. Google Cloud Spanner vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Virtuoso

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonObjectBox  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA 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.Globally distributed, horizontally scalable, multi-model database serviceExtremely fast embedded database for small devices, IoT and MobileVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMSTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score4.27
Rank#73  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.4d.comcloud.google.com/­spannerazure.microsoft.com/­services/­cosmos-dbobjectbox.iovirtuoso.openlinksw.com
Technical documentationdeveloper.4d.comcloud.google.com/­spanner/­docslearn.microsoft.com/­azure/­cosmos-dbdocs.objectbox.iodocs.openlinksw.com/­virtuoso
Developer4D, IncGoogleMicrosoftObjectBox LimitedOpenLink Software
Initial release19842017201420171998
Current releasev20, April 20237.2.11, September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C
Server operating systemsOS X
Windows
hostedhostedAndroid
iOS
Linux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesyes
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.yesnonoyes
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infoQuery statements complying to ANSI 2011SQL-like query languagenoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary native APIADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnoJavaScriptnoyes infoVirtuoso PL
TriggersyesnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud serviceonline/offline synchronization between client and serverChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
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.nononoyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelyesFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
4D infoformer name: 4th DimensionGoogle Cloud SpannerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBObjectBoxVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
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Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
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Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
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Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more
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