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DBMS > HugeGraph vs. NSDb vs. RDFox vs. STSdb

System Properties Comparison HugeGraph vs. NSDb vs. RDFox vs. STSdb

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonRDFox  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance knowledge graph and semantic reasoning engineKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMSTime Series DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
nsdb.iowww.oxfordsemantic.techgithub.com/­STSSoft/­STSdb4
Technical documentationhugegraph.apache.org/­docsnsdb.io/­Architecturedocs.oxfordsemantic.tech
DeveloperBaiduOxford Semantic TechnologiesSTS Soft SC
Initial release2018201720172011
Current release0.96.0, Septermber 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC++C#
Server operating systemsLinux
macOS
Unix
Linux
macOS
Linux
macOS
Windows
Windows
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyes infoalso supports composite index and range indexall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
RESTful HTTP API
SPARQL 1.1
.NET Client API
Supported programming languagesGroovy
Java
Python
Java
Scala
C
Java
C#
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsRoles, resources, and access typesno

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More resources
HugeGraphNSDbRDFoxSTSdb
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