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DBMS > 4D vs. Atos Standard Common Repository vs. chDB vs. JanusGraph vs. PostgreSQL

System Properties Comparison 4D vs. Atos Standard Common Repository vs. chDB vs. JanusGraph vs. PostgreSQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonchDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgreSQL  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 networksAn embedded SQL OLAP Engine powered by ClickHouseA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­chdb-io/­chdbjanusgraph.orgwww.postgresql.org
Technical documentationdeveloper.4d.comdoc.chdb.iodocs.janusgraph.orgwww.postgresql.org/­docs
Developer4D, IncAtos Convergence CreatorsLinux Foundation; originally developed as Titan by AureliusPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release19842016202320171989 info1989: Postgres, 1996: PostgreSQL
Current releasev20, April 202317030.6.3, February 202316.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaC
Server operating systemsOS X
Windows
Linuxserver-lessLinux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noClose to ANSI SQL (SQL/JSON + extensions)noyes infostandard with numerous extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Clojure
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositorychDBJanusGraph infosuccessor of TitanPostgreSQL
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