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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. OushuDB

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. OushuDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  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 metricA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Key-value store
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score0.09
Rank#357  Overall
#154  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchwww.oushu.com/­product/­oushuDB
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.oushu.com/­documentation
DeveloperAtos Convergence CreatorsElasticOushu
Initial release20162010
Current release17038.6, January 20234.0.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Server-side scripts infoStored proceduresnoyesyes
Triggersyesyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectorHadoop 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, all
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
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.yesMemcached and Redis integration
User concepts infoAccess controlLDAP bind authenticationKerberos, SSL and role based access

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More resources
Atos Standard Common RepositoryElasticsearchOushuDB
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