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DBMS > Elasticsearch vs. Kingbase vs. Microsoft Azure AI Search vs. Vitess

System Properties Comparison Elasticsearch vs. Kingbase vs. Microsoft Azure AI Search vs. Vitess

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Search-as-a-service for web and mobile app developmentScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.kingbase.com.cnazure.microsoft.com/­en-us/­services/­searchvitess.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchvitess.io/­docs
DeveloperElasticBeiJing KINGBASE Information technologies inc.MicrosoftThe Linux Foundation, PlanetScale
Initial release2010199920152013
Current release8.6, January 2023V8.0, August 2021V115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaC and JavaGo
Server operating systemsAll OS with a Java VMLinux
Windows
hostedDocker
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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.noyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
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 proceduresyesuser defined functionsnoyes infoproprietary syntax
Triggersyes infoby using the 'percolation' featureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.Memcached and Redis integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
ElasticsearchKingbaseMicrosoft Azure AI SearchVitess
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