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DBMS > Coveo vs. Kyligence Enterprise vs. mSQL vs. TDSQL for MySQL

System Properties Comparison Coveo vs. Kyligence Enterprise vs. mSQL vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed analytics engine for big data, built on top of Apache KylinmSQL (Mini SQL) is a simple and lightweight RDBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.coveo.comkyligence.io/­kyligence-enterprisehughestech.com.au/­products/­msqlwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.coveo.comwww.tencentcloud.com/­document/­product/­1042
DeveloperCoveoKyligence, Inc.Hughes TechnologiesTencent
Initial release2012201619942013
Current release4.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hosted
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.nonono
User concepts infoAccess controlgranular access controls, API key management, content filtersnoUsers with fine-grained authorization concept

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CoveoKyligence EnterprisemSQL infoMini SQLTDSQL for MySQL
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