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DBMS > MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. PostgreSQL vs. Valentina Server

System Properties Comparison MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. PostgreSQL vs. Valentina Server

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLObject-relational database and reports server
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsVector 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
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­searchwww.oushu.com/­product/­oushuDBwww.postgresql.orgwww.valentina-db.net
Technical documentationwww.progress.com/­marklogic/­documentationlearn.microsoft.com/­en-us/­azure/­searchwww.oushu.com/­documentationwww.postgresql.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMarkLogic Corp.MicrosoftOushuPostgreSQL Global Development Group infowww.postgresql.org/­developerParadigma Software
Initial release200120151989 info1989: Postgres, 1996: PostgreSQL1999
Current release11.0, December 2022V14.0.1, August 202016.3, May 20245.7.5
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemsLinux
OS X
Windows
hostedLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesyesyesyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoSQL92noFull-featured ANSI SQL supportyes infostandard with numerous extensionsyes
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes, with Range Indexesnonoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyes infousing Azure authenticationKerberos, SSL and role based accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
MarkLogicMicrosoft Azure AI SearchOushuDBPostgreSQLValentina Server
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