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DBMS > Google Cloud Datastore vs. MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. Valentina Server

System Properties Comparison Google Cloud Datastore vs. MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. Valentina Server

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOushuDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningObject-relational database and reports server
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitecloud.google.com/­datastorewww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­searchwww.oushu.com/­product/­oushuDBwww.valentina-db.net
Technical documentationcloud.google.com/­datastore/­docswww.progress.com/­marklogic/­documentationlearn.microsoft.com/­en-us/­azure/­searchwww.oushu.com/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleMarkLogic Corp.MicrosoftOushuParadigma Software
Initial release2008200120151999
Current release11.0, December 2022V14.0.1, August 20205.7.5
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
OS X
Windows
hostedLinuxLinux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yes infoSQL92noFull-featured ANSI SQL supportyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
ODBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresusing Google App Engineyes infovia XQuery or JavaScriptnoyesyes
TriggersCallbacks using the Google Apps Engineyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsyes infousing Azure authenticationKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreMarkLogicMicrosoft Azure AI SearchOushuDBValentina Server
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