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DBMS > AgensGraph vs. Cubrid vs. Ingres vs. mSQL vs. Spark SQL

System Properties Comparison AgensGraph vs. Cubrid vs. Ingres vs. mSQL vs. Spark SQL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCubrid  Xexclude from comparisonIngres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPWell established RDBMSmSQL (Mini SQL) is a simple and lightweight RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphcubrid.com (korean)
cubrid.org (english)
www.actian.com/­databases/­ingreshughestech.com.au/­products/­msqlspark.apache.org/­sql
Technical documentationbitnine.net/­documentationcubrid.org/­manualsdocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.CUBRID Corporation, CUBRID FoundationActian CorporationHughes TechnologiesApache Software Foundation
Initial release201620081974 infooriginally developed at University Berkely in early 1970s19942014
Current release2.1, December 201811.0, January 202111.2, May 20224.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache 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 languageCC, C++, JavaCCScala
Server operating systemsLinux
OS X
Windows
Linux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesJava Stored Proceduresyesnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationIngres Replicatornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCnoyes
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.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
AgensGraphCubridIngresmSQL infoMini SQLSpark SQL
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