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DBMS > Microsoft Azure AI Search vs. OrientDB vs. Sphinx vs. Typesense

System Properties Comparison Microsoft Azure AI Search vs. OrientDB vs. Sphinx vs. Typesense

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOrientDB  Xexclude from comparisonSphinx  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentMulti-model DBMS (Document, Graph, Key/Value)Open source search engine for searching in data from different sources, e.g. relational databasesA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Search engineSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.80
Rank#209  Overall
#14  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchorientdb.orgsphinxsearch.comtypesense.org
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.orientdb.com/­docs/­last/­index.htmlsphinxsearch.com/­docstypesense.org/­docs
DeveloperMicrosoftOrientDB LTD; CallidusCloud; SAPSphinx Technologies Inc.
Initial release2015201020012015
Current releaseV13.2.29, March 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
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 languageJavaC++C++
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language, no joinsSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoJava, Javascriptnono
TriggersnoHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replicationnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and roles; record level security configurableno

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Microsoft Azure AI SearchOrientDBSphinxTypesense
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