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DBMS > GridDB vs. MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. Valentina Server

System Properties Comparison GridDB vs. MarkLogic vs. Microsoft Azure AI Search vs. OushuDB vs. Valentina Server

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOushuDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataOperational 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 modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
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
Websitegriddb.netwww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­searchwww.oushu.com/­product/­oushuDBwww.valentina-db.net
Technical documentationdocs.griddb.netwww.progress.com/­marklogic/­documentationlearn.microsoft.com/­en-us/­azure/­searchwww.oushu.com/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperToshiba CorporationMarkLogic Corp.MicrosoftOushuParadigma Software
Initial release2013200120151999
Current release5.1, August 202211.0, December 2022V14.0.1, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinuxLinux
OS X
Windows
Data schemeyesschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesyes
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 SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92noFull-featured ANSI SQL supportyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
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 languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
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 proceduresnoyes infovia XQuery or JavaScriptnoyesyes
Triggersyesyesnoyesyes
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 nodesSource-replica replicationyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID 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.yesyes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsyes infousing Azure authenticationKerberos, SSL and role based accessfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBMarkLogicMicrosoft Azure AI SearchOushuDBValentina Server
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBMarkLogicMicrosoft Azure AI SearchOushuDBValentina Server
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