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DBMS > Kinetica vs. Microsoft Azure AI Search vs. Vitess

System Properties Comparison Kinetica vs. Microsoft Azure AI Search vs. Vitess

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­en-us/­services/­searchvitess.io
Technical documentationdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchvitess.io/­docs
DeveloperKineticaMicrosoftThe Linux Foundation, PlanetScale
Initial release201220152013
Current release7.1, August 2021V115.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Go
Server operating systemsLinuxhostedDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntax
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
KineticaMicrosoft Azure AI SearchVitess
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Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
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