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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  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 systemLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLarge scale data warehouse service with append-only tablesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.4d.comaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquerysqream.com
Technical documentationdeveloper.4d.comdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docsdocs.sqream.com
Developer4D, IncAmazon (based on PostgreSQL)Atos Convergence CreatorsGoogleSQream Technologies
Initial release19842012201620102017
Current releasev20, April 202317032022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsOS X
Windows
hostedLinuxhostedLinux
Data schemeyesyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes, 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.yesnoyesno
Secondary indexesyesrestrictedyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yes infodoes not fully support an SQL-standardnoyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
LDAPRESTful HTTP/JSON API.Net
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonnouser defined functions infoin JavaScriptuser defined functions in Python
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsno infoSince BigQuery is designed for querying dataACID
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.noyesyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
4D infoformer name: 4th DimensionAmazon RedshiftAtos Standard Common RepositoryGoogle BigQuerySQream DB
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