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DBMS > 4D vs. Microsoft SQL Server vs. Netezza vs. PostGIS vs. Spark SQL

System Properties Comparison 4D vs. Microsoft SQL Server vs. Netezza vs. PostGIS vs. Spark SQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMicrosofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezzapostgis.netspark.apache.org/­sql
Technical documentationdeveloper.4d.comlearn.microsoft.com/­en-US/­sql/­sql-serverpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncMicrosoftIBMApache Software Foundation
Initial release19841989200020052014
Current releasev20, April 2023SQL Server 2022, November 20223.4.2, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScala
Server operating systemsOS X
Windows
Linux
Windows
Linux infoincluded in applianceLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yesyesyesSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesuser defined functionsno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationShardingyes infobased on PostgreSQLyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, but depending on the SQL-Server EditionSource-replica replicationyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.noyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyes infobased on PostgreSQLno

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More resources
4D infoformer name: 4th DimensionMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBMPostGISSpark SQL
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