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DBMS > Kdb vs. Microsoft Azure AI Search

System Properties Comparison Kdb vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionHigh performance Time Series DBMSSearch-as-a-service for web and mobile app development
Primary database modelTime Series DBMS
Vector DBMS
Search engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.10
Rank#48  Overall
#2  Time Series DBMS
#4  Vector DBMS
Score5.16
Rank#61  Overall
#7  Search engines
Websitekx.comazure.microsoft.com/­en-us/­services/­search
Technical documentationcode.kx.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperKx Systems, a division of First Derivatives plcMicrosoft
Initial release2000 infokdb was released 2000, kdb+ in 20032015
Current release3.6, May 2018V1
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageq
Server operating systemsLinux
OS X
Solaris
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like query language (q)no
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlrights management via user accountsyes infousing Azure authentication

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More resources
KdbMicrosoft Azure AI Search
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