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DBMS > Ingres vs. Microsoft SQL Server vs. NSDb vs. Postgres-XL

System Properties Comparison Ingres vs. Microsoft SQL Server vs. NSDb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionWell established RDBMSMicrosofts flagship relational DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.microsoft.com/­en-us/­sql-servernsdb.iowww.postgres-xl.org
Technical documentationdocs.actian.com/­ingreslearn.microsoft.com/­en-US/­sql/­sql-servernsdb.io/­Architecturewww.postgres-xl.org/­documentation
DeveloperActian CorporationMicrosoft
Initial release1974 infooriginally developed at University Berkely in early 1970s198920172014 infosince 2012, originally named StormDB
Current release11.2, May 2022SQL Server 2022, November 202210 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++Java, ScalaC
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
macOS
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.no infobut tools for importing/exporting data from/to XML-files availableyesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyesSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanouser defined functions
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslytables can be distributed across several files (horizontal partitioning); sharding through federationShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine 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
IngresMicrosoft SQL ServerNSDbPostgres-XL
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