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DBMS > Elasticsearch vs. Microsoft Azure AI Search vs. OrigoDB

System Properties Comparison Elasticsearch vs. Microsoft Azure AI Search vs. OrigoDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOrigoDB  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 metricSearch-as-a-service for web and mobile app developmentA fully ACID in-memory object graph database
Primary database modelSearch engineSearch engineDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score5.71
Rank#64  Overall
#8  Search engines
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchorigodb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchorigodb.com/­docs
DeveloperElasticMicrosoftRobert Friberg et al
Initial release201020152009 infounder the name LiveDB
Current release8.6, January 2023V1
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source
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 languageJavaC#
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.nonono infocan be achieved using .NET
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoby using the 'percolation' featurenoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
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 controlyes infousing Azure authenticationRole based authorization

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More resources
ElasticsearchMicrosoft Azure AI SearchOrigoDB
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