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DBMS > gStore vs. TDSQL for MySQL vs. TimesTen

System Properties Comparison gStore vs. TDSQL for MySQL vs. TimesTen

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score0.96
Rank#192  Overall
#88  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteen.gstore.cnwww.tencentcloud.com/­products/­dcdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationen.gstore.cn/­#/­enDocswww.tencentcloud.com/­document/­product/­1042docs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperTencentOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201620131998
Current release1.2, November 2023Release 22.1
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxhostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsHTTP API
SPARQL 1.1
JDBC
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesPL/SQL
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
gStoreTDSQL for MySQLTimesTen
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