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DBMS > Microsoft Azure AI Search vs. Oracle NoSQL vs. SiriDB vs. Sphinx

System Properties Comparison Microsoft Azure AI Search vs. Oracle NoSQL vs. SiriDB vs. Sphinx

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineDocument store
Key-value store
Relational DBMS
Time Series DBMSSearch 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
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­nosql/­technologies/­nosqlsiridb.comsphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.siridb.comsphinxsearch.com/­docs
DeveloperMicrosoftOracleCesbitSphinx Technologies Inc.
Initial release2015201120172001
Current releaseV124.1, May 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedLinux
Solaris SPARC/x86
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateyesoptionalyes infoNumeric datano
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP APIProprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding 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 serviceElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and rolessimple rights management via user accountsno

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Microsoft Azure AI SearchOracle NoSQLSiriDBSphinx
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