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DBMS > OpenTenBase vs. OrigoDB vs. Spark SQL

System Properties Comparison OpenTenBase vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameOpenTenBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise-level distributed HTAP open source database based on PostgreSQLA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
origodb.comspark.apache.org/­sql
Technical documentationdocs.opentenbase.org
docs.opentenbase.org/­en
origodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOpenAtom Foundation, previously TencentRobert Friberg et alApache Software Foundation
Initial release2009 infounder the name LiveDB2014
Current release2.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD-3Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Scala
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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 .NETno
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
Go
Java
PHP
Python
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesno
Triggersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based authorizationno

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More resources
OpenTenBaseOrigoDBSpark SQL
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