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DBMS > HugeGraph vs. Stardog vs. STSdb vs. Teradata

System Properties Comparison HugeGraph vs. Stardog vs. STSdb vs. Teradata

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonStardog  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.stardog.comgithub.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationhugegraph.apache.org/­docsdocs.stardog.comdocs.teradata.com
DeveloperBaiduStardog-UnionSTS Soft SCTeradata
Initial release2018201020111984
Current release0.97.3.0, May 20204.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
macOS
Unix
Linux
macOS
Windows
Windowshosted
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 infoImport/export of XML data possibleyes
Secondary indexesyes infoalso supports composite index and range indexyes infosupports real-time indexing in full-text and geospatialnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Servernoyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions and aggregates, HTTP Server extensions in Javanoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication in HA-ClusternoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
HugeGraphStardogSTSdbTeradata
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