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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. TerarkDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA 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 containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySearch-as-a-service for web and mobile app developmentA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Search engineDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Search engineKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­en-us/­services/­searchgithub.com/­bytedance/­terarkdb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clslearn.microsoft.com/­en-us/­azure/­searchbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAtos Convergence CreatorsElasticInterSystemsMicrosoftByteDance, originally Terark
Initial release20162010201820152016
Current release17038.6, January 20232023.3, June 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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.yesnoyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL-like query languageyesnono
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C++
Java
Server-side scripts infoStored proceduresnoyesyesnono
Triggersyesyes infoby using the 'percolation' featureyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual 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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesyes infousing Azure authenticationno
More information provided by the system vendor
Atos Standard Common RepositoryElasticsearchInterSystems IRISMicrosoft Azure AI SearchTerarkDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Atos Standard Common RepositoryElasticsearchInterSystems IRISMicrosoft Azure AI SearchTerarkDB
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