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DBMS > Cubrid vs. ITTIA vs. OpenTenBase vs. Spark SQL

System Properties Comparison Cubrid vs. ITTIA vs. OpenTenBase vs. Spark SQL

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonITTIA  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEdge Time Series DBMS with Real-Time Stream ProcessingAn enterprise-level distributed HTAP open source database based on PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.ittia.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
spark.apache.org/­sql
Technical documentationcubrid.org/­manualsdocs.opentenbase.org
docs.opentenbase.org/­en
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCUBRID Corporation, CUBRID FoundationITTIA L.L.C.OpenAtom Foundation, previously TencentApache Software Foundation
Initial release200820072014
Current release11.0, January 20218.72.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD-3Open Source infoApache 2.0
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, C++, JavaC and C++Scala
Server operating systemsLinux
Windows
Linux
Windows
LinuxLinux
OS X
Windows
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
C
Go
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsAccess rights for users, groups and roles according to SQL-standardno

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More resources
CubridITTIAOpenTenBaseSpark SQL
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