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DBMS > Atos Standard Common Repository vs. Citus vs. Faircom EDGE vs. STSdb vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Citus vs. Faircom EDGE vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
Key-value storeObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.faircom.com/­products/­faircom-edgegithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.citusdata.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwakanda.github.io/­doc
DeveloperAtos Convergence CreatorsFairCom CorporationSTS Soft SCWakanda SAS
Initial release20162010197920112012
Current release17038.1, December 2018V3, October 20204.0.8, September 20152.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercial infoRestricted, free version availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
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 languageJavaCANSI C, C++C#C++, JavaScript
Server operating systemsLinuxLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateoptionalyesyes, ANSI Standard SQL Typesyes infoprimitive types and user defined types (classes)yes
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.yesyes infospecific XML type available, but no XML query functionalityyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes infoANSI SQL queriesnono
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
JavaScript
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++noyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noyes

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More resources
Atos Standard Common RepositoryCitusFaircom EDGE infoformerly c-treeEDGESTSdbWakandaDB
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