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DBMS > DataFS vs. Microsoft Azure AI Search vs. Prometheus vs. Valentina Server

System Properties Comparison DataFS vs. Microsoft Azure AI Search vs. Prometheus vs. Valentina Server

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPrometheus  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Search-as-a-service for web and mobile app developmentOpen-source Time Series DBMS and monitoring systemObject-relational database and reports server
Primary database modelObject oriented DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitenewdatabase.comazure.microsoft.com/­en-us/­services/­searchprometheus.iowww.valentina-db.net
Technical documentationdev.mobiland.com/­Overview.xsplearn.microsoft.com/­en-us/­azure/­searchprometheus.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMobiland AGMicrosoftParadigma Software
Initial release2018201520151999
Current release1.1.263, October 2022V15.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsWindowshostedLinux
Windows
Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.nonono infoImport of XML data possible
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIRESTful HTTP/JSON APIODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C#
Java
JavaScript
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersno, except callback-events from server when changes happenednonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyes
User concepts infoAccess controlWindows-Profileyes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
DataFSMicrosoft Azure AI SearchPrometheusValentina Server
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