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DBMS > Kinetica vs. NebulaGraph vs. Quasardb vs. RDF4J

System Properties Comparison Kinetica vs. NebulaGraph vs. Quasardb vs. RDF4J

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNebulaGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA distributed, linear scalable, high perfomant Graph DBMSDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.92
Rank#122  Overall
#11  Graph DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Websitewww.kinetica.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
quasar.airdf4j.org
Technical documentationdocs.kinetica.comdocs.nebula-graph.iodoc.quasar.ai/­masterrdf4j.org/­documentation
DeveloperKineticaVesoft Inc.quasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201920092004
Current release7.1, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++Java
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesStrong typed schemaschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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
Secondary indexesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocolSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes infoby using LevelDByes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access controlCryptographically strong user authentication and audit trailno
More information provided by the system vendor
KineticaNebulaGraphQuasardbRDF4J infoformerly known as Sesame
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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KineticaNebulaGraphQuasardbRDF4J infoformerly known as Sesame
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