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

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

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRRDtool  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.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Spark 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 DBMSTime Series 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
Score1.87
Rank#136  Overall
#11  Time Series 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-serveross.oetiker.ch/­rrdtoolspark.apache.org/­sqlsphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.percona.com/­downloads/­Percona-Server-LATESToss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperMicrosoftPerconaTobias OetikerApache Software FoundationSphinx Technologies Inc.
Initial release20152008199920142001
Current releaseV18.0.36-28, 20241.8.0, 20223.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoGPL V2 and FLOSSOpen 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++C infoImplementations in Java (e.g. RRD4J) and C# availableScalaC++
Server operating systemshostedLinuxHP-UX
Linux
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesno
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.noyesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnonoyes 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
in-process shared library
Pipes
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
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes, 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
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
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 rolesnonono

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More resources
Microsoft Azure AI SearchPercona Server for MySQLRRDtoolSpark SQLSphinx
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