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DBMS > gStore vs. HEAVY.AI vs. Valentina Server

System Properties Comparison gStore vs. HEAVY.AI vs. Valentina Server

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareObject-relational database and reports server
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#368  Overall
#37  Graph DBMS
#19  RDF stores
Score3.10
Rank#106  Overall
#53  Relational DBMS
Score0.27
Rank#323  Overall
#144  Relational DBMS
Websiteen.gstore.cngithub.com/­heavyai/­heavydb
www.heavy.ai
www.valentina-db.net
Technical documentationen.gstore.cn/­#/­enDocsdocs.heavy.aivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperHEAVY.AI, Inc.Paradigma Software
Initial release201620161999
Current release1.2, November 20235.10, January 20225.7.5
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDA
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsHTTP API
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
gStoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Valentina Server
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