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DBMS > EsgynDB vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison EsgynDB vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed analytics engine for big data, built on top of Apache KylinSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.esgyn.cnkyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperEsgynKyligence, Inc.Microsoftquasardb
Initial release2015201620152009
Current releaseV13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++
Server operating systemsLinuxLinuxhostedBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)noSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
EsgynDBKyligence EnterpriseMicrosoft Azure AI SearchQuasardb
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