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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHBase  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 systemScalable 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 networksWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Wide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositoryhbase.apache.orgwww.kinetica.com
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhbase.apache.org/­book.htmldocs.kinetica.com
Developer4D, IncCambridge SemanticsAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by PowersetKinetica
Initial release19842018201620082012
Current releasev20, April 20232.3, January 202117032.3.4, January 20217.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache version 2commercial
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 languageJavaJavaC, C++
Server operating systemsOS X
Windows
LinuxLinuxLinux
Unix
Windows infousing Cygwin
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptionaloptions to bring your own types, AVROyes
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.yesnoyesnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
All languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes infoCoprocessors in Javauser defined functions
Triggersyesnoyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-ClusteryesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)no
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.noyesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table level

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More resources
4D infoformer name: 4th DimensionAnzoGraph DBAtos Standard Common RepositoryHBaseKinetica
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