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DBMS > gStore vs. NSDb vs. OrigoDB vs. VictoriaMetrics

System Properties Comparison gStore vs. NSDb vs. OrigoDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.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 modelGraph DBMS
RDF store
Time Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteen.gstore.cnnsdb.ioorigodb.comvictoriametrics.com
Technical documentationen.gstore.cn/­#/­enDocsnsdb.io/­Architectureorigodb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRobert Friberg et alVictoriaMetrics
Initial release201620172009 infounder the name LiveDB2018
Current release1.2, November 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaC#Go
Server operating systemsLinuxLinux
macOS
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes: 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.nonono infocan be achieved using .NETno
Secondary indexesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsHTTP API
SPARQL 1.1
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 languagesC++
Java
JavaScript (Node.js)
PHP
Python
Java
Scala
.Net
Server-side scripts infoStored proceduresyesnoyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedRole based authorization

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More resources
gStoreNSDbOrigoDBVictoriaMetrics
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