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DBMS > 4D vs. AgensGraph vs. Apache Impala vs. Atos Standard Common Repository vs. Teradata Aster

System Properties Comparison 4D vs. AgensGraph vs. Apache Impala vs. Atos Standard Common Repository vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAgensGraph  Xexclude from comparisonApache Impala  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 systemMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopHighly 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 DBMSGraph DBMS
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Websitewww.4d.combitnine.net/­agensgraphimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationdeveloper.4d.combitnine.net/­documentationimpala.apache.org/­impala-docs.html
Developer4D, IncBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsTeradata
Initial release19842016201320162005
Current releasev20, April 20232.1, December 20184.1.0, June 20221703
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2commercialcommercial
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 languageCC++Java
Server operating systemsOS X
Windows
Linux
OS X
Windows
LinuxLinuxLinux
Data schemeyesdepending on used data modelyesSchema 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 indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like DML and DDL statementsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Cypher Query Language
JDBC
JDBC
ODBC
LDAPADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
C
Java
JavaScript
Python
All languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesyesyes infouser defined functions and integration of map-reducenoR packages
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneno, but can be realized using table inheritanceShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication factoryesyes 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 methodsnonoyes infoquery execution via MapReduceyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of specific operationsACID
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.nononoyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAgensGraphApache ImpalaAtos Standard Common RepositoryTeradata Aster
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