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DBMS > FatDB vs. Microsoft SQL Server vs. OpenMLDB vs. PostgreSQL

System Properties Comparison FatDB vs. Microsoft SQL Server vs. OpenMLDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Microsofts flagship relational DBMSAn open-source machine learning database that provides a feature platform for training and inferenceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serveropenmldb.aiwww.postgresql.org
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serveropenmldb.ai/­docs/­zh/­mainwww.postgresql.org/­docs
DeveloperFatCloudMicrosoft4 Paradigm Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012198920201989 info1989: Postgres, 1996: PostgreSQL
Current releaseSQL Server 2022, November 20222024-2 February 202416.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C++, Java, ScalaC
Server operating systemsWindowsLinux
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesyesyes infostandard with numerous extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infovia applicationsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FatDBMicrosoft SQL ServerOpenMLDBPostgreSQL
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