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DBMS > 4D vs. Amazon Neptune vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Postgres-XL

System Properties Comparison 4D vs. Amazon Neptune vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Postgres-XL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPostgres-XL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.4d.comaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.intersystems.com/­products/­intersystems-iriswww.postgres-xl.org
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.postgres-xl.org/­documentation
Developer4D, IncAmazonAtos Convergence CreatorsInterSystems
Initial release19842017201620182014 infosince 2012, originally named StormDB
Current releasev20, April 202317032023.3, June 202310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsOS X
Windows
hostedLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Data schemeyesschema-freeSchema and schema-less with LDAP viewsdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesyesyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyesyes infodistributed, parallel query execution
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnonoyesuser defined functions
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
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 groupsAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAmazon NeptuneAtos Standard Common RepositoryInterSystems IRISPostgres-XL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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4D infoformer name: 4th DimensionAmazon NeptuneAtos Standard Common RepositoryInterSystems IRISPostgres-XL
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