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DBMS > Microsoft Azure AI Search vs. Sphinx vs. TerarkDB vs. Yanza

System Properties Comparison Microsoft Azure AI Search vs. Sphinx vs. TerarkDB vs. Yanza

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonTerarkDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTime Series DBMS for IoT Applications
Primary database modelSearch engineSearch engineKey-value storeTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comgithub.com/­bytedance/­terarkdbyanza.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMicrosoftSphinx Technologies Inc.ByteDance, originally TerarkYanza
Initial release2015200120162015
Current releaseV13.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial inforestricted open source version availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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 indexesyesyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)nono
APIs and other access methodsRESTful HTTP APIProprietary protocolC++ API
Java API
HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
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 authenticationnonono

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More resources
Microsoft Azure AI SearchSphinxTerarkDBYanza
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