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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Hive vs. PostGIS vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Hive vs. PostGIS vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is 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 metricdata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Search engineRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchhive.apache.orgpostgis.netyaacomo.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperAtos Convergence CreatorsElasticApache Software Foundation infoinitially developed by FacebookQ2WEB GmbH
Initial release20162010201220052009
Current release17038.6, January 20233.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnoyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyesyes infoby using the 'percolation' featurenoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingyes infobased on PostgreSQLhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factoryes infobased on PostgreSQLSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoquery execution via MapReducenono
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, allEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
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 integrationnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryElasticsearchHivePostGISYaacomo
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