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DBMS > 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Splice Machine

System Properties Comparison 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlaSQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemJavaScript DBMS libraryHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comalasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comsplicemachine.com
Technical documentationdeveloper.4d.comgithub.com/­AlaSQL/­alasqlwww.postgresql.fastware.com/­product-manualssplicemachine.com/­how-it-works
Developer4D, IncAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySplice Machine
Initial release1984201420162014
Current releasev20, April 20231703Fujitsu Enterprise Postgres 14, January 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicensecommercialcommercialOpen Source infoAGPL 3.0, commercial license available
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 languageJavaScriptJavaCJava
Server operating systemsOS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesnooptionalyesyes
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.yesnoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Close to SQL99, but no user access control, stored procedures and host language bindings.noyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JavaScript APILDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaScriptAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonouser defined functionsyes infoJava
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionpartitioning by range, list and by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers and groupsnoLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAlaSQLAtos Standard Common RepositoryFujitsu Enterprise PostgresSplice Machine
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