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

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. HBase 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 comparisonHBase  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 tablesWide-column store based on Apache Hadoop and on concepts of BigTablea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSWide column storeRelational DBMS
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigqueryhbase.apache.orgsqream.com
Technical documentationdeveloper.4d.comcloud.google.com/­bigquery/­docshbase.apache.org/­book.htmldocs.sqream.com
Developer4D, IncAtos Convergence CreatorsGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetSQream Technologies
Initial release19842016201020082017
Current releasev20, April 202317032.3.4, January 20212022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2commercial
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 languageJavaJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsOS X
Windows
LinuxhostedLinux
Unix
Windows infousing Cygwin
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptionalyesoptions to bring your own types, AVROyes, 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.yesyesnono
Secondary indexesyesyesnonono
SQL infoSupport of SQLyes infoclose to SQL 92noyesnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
.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++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaScriptyes infoCoprocessors in Javauser defined functions in Python
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneShardinghorizontal 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 methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoSince BigQuery is designed for querying dataSingle row ACID (across millions of columns)ACID
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
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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