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DBMS > Microsoft Azure AI Search vs. Percona Server for MySQL vs. Qdrant vs. Spark SQL vs. Sphinx

System Properties Comparison Microsoft Azure AI Search vs. Percona Server for MySQL vs. Qdrant vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonQdrant  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A high-performance vector database with neural network or semantic-based matchingSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSVector DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­software/­mysql-database/­percona-servergithub.com/­qdrant/­qdrant
qdrant.tech
spark.apache.org/­sqlsphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.percona.com/­downloads/­Percona-Server-LATESTqdrant.tech/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperMicrosoftPerconaQdrantApache Software FoundationSphinx Technologies Inc.
Initial release20152008202120142001
Current releaseV18.0.36-28, 20243.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++RustScalaC++
Server operating systemshostedLinuxDocker
Linux
macOS
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyesno
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.noyesnono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark CoreSharding 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 replication
Source-replica replication
XtraDB Cluster
Collection-level replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyesno
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or rolesKey-based authenticationnono

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More resources
Microsoft Azure AI SearchPercona Server for MySQLQdrantSpark SQLSphinx
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