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DBMS > Atos Standard Common Repository vs. Faircom DB vs. NSDb vs. OrigoDB vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. Faircom DB vs. NSDb vs. OrigoDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonVictoriaMetrics  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 networksNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-dbnsdb.ioorigodb.comvictoriametrics.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlnsdb.io/­Architectureorigodb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAtos Convergence CreatorsFairCom CorporationRobert Friberg et alVictoriaMetrics
Initial release2016197920172009 infounder the name LiveDB2018
Current release1703V12, November 2020v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0
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 languageJavaANSI C, C++Java, ScalaC#Go
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeSchema and schema-less with LDAP viewsschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateoptionalyes, ANSI SQL Types, JSON, typed binary structuresyes: int, bigint, decimal, stringUser defined using .NET types and collections
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.yesnonono infocan be achieved using .NETno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsSQL-like query languagenono
APIs and other access methodsLDAPADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Java
Scala
.Net
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noyesno
Triggersyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationSynchronous replication
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 configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationstunable from ACID to Eventually ConsistentnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationFine grained access rights according to SQL-standard with additional protections for filesRole based authorization

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More resources
Atos Standard Common RepositoryFaircom DB infoformerly c-treeACENSDbOrigoDBVictoriaMetrics
Recent citations in the news

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