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DBMS > Elasticsearch vs. InterSystems Caché vs. Microsoft Azure AI Search

System Properties Comparison Elasticsearch vs. InterSystems Caché vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 metricA multi-model DBMS and application serverSearch-as-a-service for web and mobile app development
Primary database modelSearch engineKey-value store
Object oriented DBMS
Relational DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.elastic.co/­elasticsearchwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperElasticInterSystemsMicrosoft
Initial release201019972015
Current release8.6, January 20232018.1.4, May 2020V1
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentdepending on used data modelyes
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.noyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud service
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.Memcached and Redis integrationyesno
User concepts infoAccess controlAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
ElasticsearchInterSystems CachéMicrosoft Azure AI Search
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