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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Memcached vs. Microsoft Azure AI Search vs. OushuDB

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Memcached vs. Microsoft Azure AI Search vs. OushuDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOushuDB  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 metricIn-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app developmentA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Key-value store
Search engineKey-value storeSearch engineRelational DBMS
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
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchwww.memcached.orgazure.microsoft.com/­en-us/­services/­searchwww.oushu.com/­product/­oushuDB
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­searchwww.oushu.com/­documentation
DeveloperAtos Convergence CreatorsElasticDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftOushu
Initial release2016201020032015
Current release17038.6, January 20231.6.25, March 2024V14.0.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoBSD licensecommercialcommercial
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 VMFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesnoyesyes
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLnoSQL-like query languagenonoFull-featured ANSI SQL support
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersyesyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectornonoHadoop integration
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 Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlLDAP bind authenticationyes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authenticationKerberos, SSL and role based access

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More resources
Atos Standard Common RepositoryElasticsearchMemcachedMicrosoft Azure AI SearchOushuDB
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