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DBMS > HugeGraph vs. MySQL vs. TerminusDB vs. Valentina Server

System Properties Comparison HugeGraph vs. MySQL vs. TerminusDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMySQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWidely used open source RDBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsObject-relational database and reports server
Primary database modelGraph DBMSRelational DBMS infoKey/Value like access via memcached APIGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.mysql.comterminusdb.comwww.valentina-db.net
Technical documentationhugegraph.apache.org/­docsdev.mysql.com/­docterminusdb.github.io/­terminusdb/­#valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBaiduOracle infosince 2010, originally MySQL AB, then SunDataChemist Ltd.Paradigma Software
Initial release2018199520181999
Current release0.98.4.0, April 202411.0.0, January 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC and C++Prolog, Rust
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query language (WOQL)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Proprietary native API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ODBC
Supported programming languagesGroovy
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoproprietary syntaxyesyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
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 permissionsUsers with fine-grained authorization concept infono user groups or rolesRole-based access controlfine grained access rights according to SQL-standard

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More resources
HugeGraphMySQLTerminusDB infoformer name was DataChemistValentina Server
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