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DBMS > 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Oracle vs. Splice Machine

System Properties Comparison 4D vs. AlaSQL vs. Atos Standard Common Repository vs. Oracle 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 comparisonOracle  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 networksWidely used RDBMSOpen-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
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
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comalasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.oracle.com/­databasesplicemachine.com
Technical documentationdeveloper.4d.comgithub.com/­AlaSQL/­alasqldocs.oracle.com/­en/­databasesplicemachine.com/­how-it-works
Developer4D, IncAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsOracleSplice Machine
Initial release19842014201619802014
Current releasev20, April 2023170323c, September 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-Licensecommercialcommercial inforestricted free version is availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC and C++Java
Server operating systemsOS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyes infoSchemaless in JSON and XML columnsyes
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.yesnoyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Close to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JavaScript APILDAPJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaScriptAll languages with LDAP bindingsC
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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoPL/SQL infoalso stored procedures in Java possibleyes infoJava
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLYes, 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 operationsACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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 infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
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 RepositoryOracleSplice Machine
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