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DBMS > 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Oracle vs. SQream DB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Oracle vs. SQream DB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOracle  Xexclude from comparisonSQream DB  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 networksLarge scale data warehouse service with append-only tablesWidely used RDBMSa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquerywww.oracle.com/­databasesqream.com
Technical documentationdeveloper.4d.comcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­databasedocs.sqream.com
Developer4D, IncAtos Convergence CreatorsGoogleOracleSQream Technologies
Initial release19842016201019802017
Current releasev20, April 2023170323c, September 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is availablecommercial
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 languageJavaC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemsOS X
Windows
LinuxhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes, ANSI Standard SQL Types
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
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infoclose to SQL 92noyesyes infowith proprietary extensionsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPRESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.Net
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaScriptPL/SQL infoalso stored procedures in Java possibleuser defined functions in Python
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding, horizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoSince BigQuery is designed for querying dataACID infoisolation level can be parameterizedACID
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.noyesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle BigQueryOracleSQream DB
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