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DBMS > DataFS vs. Datomic vs. Microsoft Azure AI Search

System Properties Comparison DataFS vs. Datomic vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure AI Search  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySearch-as-a-service for web and mobile app development
Primary database modelObject oriented DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websitenewdatabase.comwww.datomic.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperMobiland AGCognitectMicrosoft
Initial release201820122015
Current release1.1.263, October 20221.0.7180, July 2024V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsWindowsAll OS with a Java VMhosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnonono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
Triggersno, except callback-events from server when changes happenedBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlWindows-Profilenoyes infousing Azure authentication

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More resources
DataFSDatomicMicrosoft Azure AI Search
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