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DBMS > 4D vs. AgensGraph vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Kinetica

System Properties Comparison 4D vs. AgensGraph vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Kinetica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKinetica  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.4d.combitnine.net/­agensgraphcambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.com
Technical documentationdeveloper.4d.combitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.kinetica.com
Developer4D, IncBitnine Global Inc.Cambridge SemanticsAtos Convergence CreatorsKinetica
Initial release19842016201820162012
Current releasev20, April 20232.1, December 20182.3, January 202117037.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree trial version availablecommercialcommercial
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 languageCJavaC, C++
Server operating systemsOS X
Windows
Linux
OS X
Windows
LinuxLinuxLinux
Data schemeyesdepending on used data modelSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.yesnonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Cypher Query Language
JDBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
Java
JavaScript
Python
C++
Java
Python
All languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesuser defined functions and aggregatesnouser defined functions
Triggersyesnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneno, but can be realized using table inheritanceAutomatic shardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication in MPP-ClusteryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic execution of specific operationsno
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.nonoyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users and rolesLDAP bind authenticationAccess rights for users and roles on table level

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More resources
4D infoformer name: 4th DimensionAgensGraphAnzoGraph DBAtos Standard Common RepositoryKinetica
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