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DBMS > Google Cloud Spanner vs. Microsoft Azure AI Search vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Sphinx

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure AI Search vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Sphinx

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Search-as-a-service for web and mobile app developmentDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecloud.google.com/­spannerazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­software/­mysql-database/­percona-serversphinxsearch.com
Technical documentationcloud.google.com/­spanner/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.percona.com/­downloads/­Percona-Server-LATESTsphinxsearch.com/­docs
DeveloperGoogleMicrosoftMicrosoftPerconaSphinx Technologies Inc.
Initial release20172015201020082001
Current releaseV1V128.0.36-28, 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemshostedhostedhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesyes
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesyesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoTransact SQLyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud serviceyes, with always 3 replicas availableMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDACIDno
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Google Cloud SpannerMicrosoft Azure AI SearchMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MySQLSphinx
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