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DBMS > Microsoft Azure AI Search vs. MonetDB vs. Sphinx vs. YDB

System Properties Comparison Microsoft Azure AI Search vs. MonetDB vs. Sphinx vs. YDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelSearch engineRelational DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgsphinxsearch.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationsphinxsearch.com/­docsydb.tech/­en/­docs
DeveloperMicrosoftMonetDB BVSphinx Technologies Inc.Yandex
Initial release2015200420012019
Current releaseV1Dec2023 (11.49), December 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0; commercial license 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 languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
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 SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)SQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusnoneActive-passive shard replication
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nono
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardnoAccess rights defined for Yandex Cloud users

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More resources
Microsoft Azure AI SearchMonetDBSphinxYDB
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