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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Faircom EDGE vs. InterSystems Caché vs. ReductStore

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Faircom EDGE vs. InterSystems Caché vs. ReductStore

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonReductStore  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore 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 metricFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA multi-model DBMS and application serverDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelDocument store
Key-value store
Search engineKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­cachegithub.com/­reductstore
www.reduct.store
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.comwww.reduct.store/­docs
DeveloperAtos Convergence CreatorsElasticFairCom CorporationInterSystemsReductStore LLC
Initial release20162010197919972023
Current release17038.6, January 2023V3, October 20202018.1.4, May 20201.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial infoRestricted, free version availablecommercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++C++, Rust
Server operating systemsLinuxAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)depending on used data model
Typing infopredefined data types such as float or dateoptionalyesyes, ANSI Standard SQL Typesyes
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.yesnoyesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infoANSI SQL queriesyes
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++yes
Triggersyesyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyes
User concepts infoAccess controlLDAP bind authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles

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More resources
Atos Standard Common RepositoryElasticsearchFaircom EDGE infoformerly c-treeEDGEInterSystems CachéReductStore
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