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DBMS > GBase vs. OrigoDB vs. Spark SQL vs. Transbase

System Properties Comparison GBase vs. OrigoDB vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.A fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#174  Overall
#86  Relational DBMS
Score0.00
Rank#353  Overall
#52  Document stores
#20  Object oriented DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.22
Rank#285  Overall
#132  Relational DBMS
Websitewww.gbase8a.comorigodb.comspark.apache.org/­sqlwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-inside
DeveloperRobert Friberg et alApache Software FoundationTransaction Software GmbH
Initial release2009 infounder the name LiveDB20141987
Current releaseGBase 8a3.1.1, March 2021Transbase 8.4, September 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0commercial infofree development license
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.
Implementation languageC#ScalaC and C++
Server operating systemsLinux
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes
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.no infocan be achieved using .NETnono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.NetJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritydepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole based authorizationnofine grained access rights according to SQL-standard

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More resources
GBaseOrigoDBSpark SQLTransbase
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