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DBMS > Elasticsearch vs. Microsoft Azure Cosmos DB vs. searchxml

System Properties Comparison Elasticsearch vs. Microsoft Azure Cosmos DB vs. searchxml

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonsearchxml  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 metricGlobally distributed, horizontally scalable, multi-model database serviceDBMS for structured and unstructured content wrapped with an application server
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Native XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score160.75
Rank#8  Overall
#1  Search engines
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#351  Overall
#7  Native XML DBMS
#20  Search engines
Websitewww.elastic.co/­elasticsearchazure.microsoft.com/­services/­cosmos-dbwww.searchxml.net/­category/­products
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­azure/­cosmos-dbwww.searchxml.net/­support/­handouts
DeveloperElasticMicrosoftinformationpartners gmbh
Initial release201020142015
Current release7.8.0, June 20201.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercialcommercial
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 VMhostedWindows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesJavaScriptyes infoon the application server
Triggersyes infoby using the 'percolation' featureJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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, allBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionmultiple readers, single writer
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 integrationno
User concepts infoAccess controlAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application services

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More resources
ElasticsearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBsearchxml
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