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DBMS > 4D vs. Atos Standard Common Repository vs. Qdrant vs. RDF4J vs. Teradata Aster

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Qdrant vs. RDF4J vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonQdrant  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore 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 networksA high-performance vector database with neural network or semantic-based matchingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Key-value store
Vector DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­qdrant/­qdrant
qdrant.tech
rdf4j.org
Technical documentationdeveloper.4d.comqdrant.tech/­documentationrdf4j.org/­documentation
Developer4D, IncAtos Convergence CreatorsQdrantSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release19842016202120042005
Current releasev20, April 20231703
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
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 languageJavaRustJava
Server operating systemsOS X
Windows
LinuxDocker
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesoptionalNumbers, Strings, Geo, Booleanyesyes
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.yesyesnoyes infoin Aster File Store
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nononoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyesR packages
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesCollection-level replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency, tunable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationKey-based authenticationnofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryQdrantRDF4J infoformerly known as SesameTeradata Aster
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