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DBMS > 4D vs. Altibase vs. Amazon Neptune vs. Atos Standard Common Repository vs. Teradata Aster

System Properties Comparison 4D vs. Altibase vs. Amazon Neptune vs. Atos Standard Common Repository vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAltibase  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  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 systemAn enterprise grade, high-performance RDBMSFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Websitewww.4d.comaltibase.comaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationdeveloper.4d.comgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsaws.amazon.com/­neptune/­developer-resources
Developer4D, IncAltibaseAmazonAtos Convergence CreatorsTeradata
Initial release19841999201720162005
Current releasev20, April 2023v7.3, 2023, August 20231703
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsOS X
Windows
AIX
HP-UX
Linux
hostedLinuxLinux
Data schemeyesyesschema-freeSchema and schema-less with LDAP viewsFlexible 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 dateyesyesyesoptionalyes
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.yesnonoyesyes infoin Aster File Store
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL-92nonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Proprietary protocol
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesstored procedures and stored functionsnonoR packages
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-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.yesyes 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 ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes
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 groupsfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAltibaseAmazon NeptuneAtos Standard Common RepositoryTeradata Aster
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