DBMS > Altibase vs. Cubrid vs. Ingres vs. Realm

System Properties Comparison Altibase vs. Cubrid vs. Ingres vs. Realm

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Well established RDBMS

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Primary database model

Relational DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	1.04
Rank	#187	Overall
	#87	Relational DBMS

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	7.41
Rank	#52	Overall
	#8	Document stores

Website

altibase.com

cubrid.com (korean)
cubrid.org (english)

www.actian.com/databases/ingres

realm.io

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

cubrid.org/manuals

docs.actian.com/ingres

realm.io/docs

Developer

Altibase

CUBRID Corporation, CUBRID Foundation

Actian Corporation

Realm, acquired by MongoDB in May 2019

Initial release

1999

2008

1974

originally developed at University Berkely in early 1970s

2014

Current release

v7.3, 2023, August 2023

11.0, January 2021

11.2, May 2022

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache Version 2.0

commercial

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C, C++, Java

Server operating systems

AIX
HP-UX
Linux

Linux
Windows

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

Android
Backend: server-less
iOS
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC
OLE DB

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

Supported programming languages

C
C++
Java

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

stored procedures and stored functions

Java Stored Procedures

yes

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Ingres Replicator

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

MVCC

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

In-Memory realm

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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More resources

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