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DBMS > Google Cloud Spanner vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. Yanza

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. Yanza

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 developmentA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineDocument storeTime Series DBMS
Secondary database modelsVector 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
Score0.52
Rank#254  Overall
#39  Document stores
Websitecloud.google.com/­spannerazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­mongodb/­software/­percona-server-for-mongodbyanza.com
Technical documentationcloud.google.com/­spanner/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.percona.com/­percona-distribution-for-mongodb
DeveloperGoogleMicrosoftPerconaYanza
Initial release2017201520152015
Current releaseV13.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono 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++
Server operating systemshostedhostedLinuxWindows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonono
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 APIproprietary protocol using JSONHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationAccess rights for users and rolesno

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More resources
Google Cloud SpannerMicrosoft Azure AI SearchPercona Server for MongoDBYanza
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