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DBMS > Blazegraph vs. Citus vs. NSDb vs. VictoriaMetrics

System Properties Comparison Blazegraph vs. Citus vs. NSDb vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCitus  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteblazegraph.comwww.citusdata.comnsdb.iovictoriametrics.com
Technical documentationwiki.blazegraph.comdocs.citusdata.comnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBlazegraphVictoriaMetrics
Initial release2006201020172018
Current release2.1.5, March 20198.1, December 2018v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open 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 languageJavaCJava, ScalaGo
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes: int, bigint, decimal, string
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageyes infostandard, with numerous extensionsSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsSynchronous 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 configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standard

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More resources
BlazegraphCitusNSDbVictoriaMetrics
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