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DBMS > Bangdb vs. GraphDB vs. Kingbase vs. TinkerGraph

System Properties Comparison Bangdb vs. GraphDB vs. Kingbase vs. TinkerGraph

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKingbase  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitebangdb.comwww.ontotext.comwww.kingbase.com.cntinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.bangdb.comgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSachin Sinha, BangDBOntotextBeiJing KINGBASE Information technologies inc.
Initial release2012200019992009
Current releaseBangDB 2.0, October 202110.4, October 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC and JavaJava
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLSQL like support with command line toolstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCStandard with numerous extensionsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
TinkerPop 3
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Groovy
Java
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functionsno
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonehorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistencynone
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesno
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardno
More information provided by the system vendor
BangdbGraphDB infoformer name: OWLIMKingbaseTinkerGraph
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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BangdbGraphDB infoformer name: OWLIMKingbaseTinkerGraph
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