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DBMS > 4D vs. Atos Standard Common Repository vs. EsgynDB vs. Kinetica vs. Stardog

System Properties Comparison 4D vs. Atos Standard Common Repository vs. EsgynDB vs. Kinetica vs. Stardog

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonStardog  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 networksEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully vectorized database across both GPUs and CPUsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#114  Overall
#54  Relational DBMS
Score0.15
Rank#325  Overall
#145  Relational DBMS
Score0.42
Rank#257  Overall
#120  Relational DBMS
Score1.78
Rank#130  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.esgyn.cnwww.kinetica.comwww.stardog.com
Technical documentationdeveloper.4d.comdocs.kinetica.comdocs.stardog.com
Developer4D, IncAtos Convergence CreatorsEsgynKineticaStardog-Union
Initial release19842016201520122010
Current releasev20, April 202317037.1, August 20217.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++, JavaC, C++Java
Server operating systemsOS X
Windows
LinuxLinuxLinuxLinux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infoclose to SQL 92noyesSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsAll languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication between multi datacentersSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID
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.noyesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights for users and roles

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