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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonElasticsearch  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 networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A 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 metric
Primary database modelDocument store
Key-value store
Key-value storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score134.78
Rank#7  Overall
#1  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearch
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAtos Convergence CreatorsDGraph LabsElastic
Initial release201620172010
Current release17038.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoElastic License
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 languageJavaGoJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateoptionalnoyes
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 indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
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.yesnoMemcached and Redis integration
User concepts infoAccess controlLDAP bind authenticationno

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More resources
Atos Standard Common RepositoryBadgerElasticsearch
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