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DBMS > HugeGraph vs. RethinkDB vs. Stardog vs. Tibero

System Properties Comparison HugeGraph vs. RethinkDB vs. Stardog vs. Tibero

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonRethinkDB  Xexclude from comparisonStardog  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primary database modelGraph DBMSDocument storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
rethinkdb.comwww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationhugegraph.apache.org/­docsrethinkdb.com/­docsdocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperBaiduThe Linux Foundation infosince July 2017Stardog-UnionTmaxSoft
Initial release2018200920102003
Current release0.92.4.1, August 20207.3.0, May 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and Assembler
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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 infoImport/export of XML data possibleyes
Secondary indexesyes infoalso supports composite index and range indexyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesGroovy
Java
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
TriggersnoClient-side triggers through changefeedsyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding inforange basednonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
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.yesnoyesno infoplanned for next version
User concepts infoAccess controlUsers, roles and permissionsyes infousers and table-level permissionsAccess rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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HugeGraphRethinkDBStardogTibero
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