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DBMS > Cubrid vs. Hive vs. mSQL vs. Spark SQL vs. Tigris

System Properties Comparison Cubrid vs. Hive vs. mSQL vs. Spark SQL vs. Tigris

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHive  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPdata warehouse software for querying and managing large distributed datasets, built on HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
hive.apache.orghughestech.com.au/­products/­msqlspark.apache.org/­sqlwww.tigrisdata.com
Technical documentationcubrid.org/­manualscwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tigrisdata.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationApache Software Foundation infoinitially developed by FacebookHughes TechnologiesApache Software FoundationTigris Data, Inc.
Initial release20082012199420142022
Current release11.0, January 20213.1.3, April 20224.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJavaCScala
Server operating systemsLinux
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reducenonono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnonoAccess rights for users and roles

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More resources
CubridHivemSQL infoMini SQLSpark SQLTigris
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