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DBMS > Microsoft Azure AI Search vs. Realm vs. Stardog vs. Vitess

System Properties Comparison Microsoft Azure AI Search vs. Realm vs. Stardog vs. Vitess

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonRealm  Xexclude from comparisonStardog  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineDocument storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score7.41
Rank#52  Overall
#8  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchrealm.iowww.stardog.comvitess.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchrealm.io/­docsdocs.stardog.comvitess.io/­docs
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Stardog-UnionThe Linux Foundation, PlanetScale
Initial release2015201420102013
Current releaseV17.3.0, May 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
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.nonono infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryuser defined functions and aggregates, HTTP Server extensions in Javayes infoproprietary syntax
Triggersnoyes infoChange Listenersyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.noyes infoIn-Memory realmyesyes
User concepts infoAccess controlyes infousing Azure authenticationyesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Microsoft Azure AI SearchRealmStardogVitess
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