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DBMS > Coveo vs. Cubrid vs. Microsoft Azure AI Search vs. Tkrzw

System Properties Comparison Coveo vs. Cubrid vs. Microsoft Azure AI Search vs. Tkrzw

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonCubrid  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSearch-as-a-service for web and mobile app developmentA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineRelational DBMSSearch engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.coveo.comcubrid.com (korean)
cubrid.org (english)
azure.microsoft.com/­en-us/­services/­searchdbmx.net/­tkrzw
Technical documentationdocs.coveo.comcubrid.org/­manualslearn.microsoft.com/­en-us/­azure/­search
DeveloperCoveoCUBRID Corporation, CUBRID FoundationMicrosoftMikio Hirabayashi
Initial release2012200820152020
Current release11.0, January 2021V10.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++
Server operating systemshostedLinux
Windows
hostedLinux
macOS
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-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 indexesyesyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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 infousing specific database classes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
CoveoCubridMicrosoft Azure AI SearchTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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