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DBMS > 4D vs. Atos Standard Common Repository vs. GridDB vs. Linter vs. SpatiaLite

System Properties Comparison 4D vs. Atos Standard Common Repository vs. GridDB vs. Linter vs. SpatiaLite

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridDB  Xexclude from comparisonLinter  Xexclude from comparisonSpatiaLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable in-memory time series database optimized for IoT and Big DataRDBMS for high security requirementsSpatial extension of SQLite
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygriddb.netlinter.ruwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdeveloper.4d.comdocs.griddb.netwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer4D, IncAtos Convergence CreatorsToshiba Corporationrelex.ruAlessandro Furieri
Initial release19842016201319902008
Current releasev20, April 202317035.1, August 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++
Server operating systemsOS X
Windows
LinuxLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.yesyesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL92, SQL-like TQL (Toshiba Query Language)yesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyesnonoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID at container levelACIDACID
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.noyesyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users can be defined per databasefine grained access rights according to SQL-standardno
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGridDBLinterSpatiaLite
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGridDBLinterSpatiaLite
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