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DBMS > H2 vs. Stardog vs. TDSQL for MySQL vs. Transbase vs. Valentina Server

System Properties Comparison H2 vs. Stardog vs. TDSQL for MySQL vs. Transbase vs. Valentina Server

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonStardog  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTransbase  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA 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.A resource-optimized, high-performance, universally applicable RDBMSObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.h2database.comwww.stardog.comwww.tencentcloud.com/­products/­dcdbwww.transaction.de/­en/­products/­transbase.htmlwww.valentina-db.net
Technical documentationwww.h2database.com/­html/­main.htmldocs.stardog.comwww.tencentcloud.com/­document/­product/­1042www.transaction.de/­en/­products/­transbase/­features.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperThomas MuellerStardog-UnionTencentTransaction Software GmbHParadigma Software
Initial release20052010201319871999
Current release2.2.220, July 20237.3.0, May 2020Transbase 8.3, 20225.7.5
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyesyes
SQL infoSupport of SQLyesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesyesyes
APIs and other access methodsJDBC
ODBC
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
ADO.NET
JDBC
ODBC
Proprietary native API
ODBC
Supported programming languagesJava.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsuser defined functions and aggregates, HTTP Server extensions in Javayesyesyes
Triggersyesyes infovia event handlersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
H2StardogTDSQL for MySQLTransbaseValentina Server
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