DBMS > Cubrid vs. MaxDB vs. OpenEdge vs. ReductStore

System Properties Comparison Cubrid vs. MaxDB vs. OpenEdge vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

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

A robust and reliable RDBMS optimized to run all major SAP solutions

Application development environment with integrated database management system

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Relational DBMS

Time Series DBMS

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

Score	1.04
Rank	#187	Overall
	#87	Relational DBMS

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

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

maxdb.sap.com

www.progress.com/openedge

github.com/reductstore
www.reduct.store

Technical documentation

cubrid.org/manuals

maxdb.sap.com/documentation

documentation.progress.com/output/ua/OpenEdge_latest

www.reduct.store/docs

Developer

CUBRID Corporation, CUBRID Foundation

SAP, acquired from Software AG (Adabas-D) in 1997

Progress Software Corporation

ReductStore LLC

Initial release

2008

1984

2023

Current release

11.0, January 2021

7.9.10.12, February 2024

OpenEdge 12.2, March 2020

1.9, March 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Limited community edition free

commercial

Open Source

Business Source License 1.1

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++, Java

C++

C++, Rust

Server operating systems

Linux
Windows

AIX
HP-UX
Linux
Solaris
Windows

Docker
Linux
macOS
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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

ADO.NET
JDBC
ODBC
WebDAV

JDBC
ODBC

HTTP API

Supported programming languages

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

.Net
C#
Java
Perl
PHP
Python

Progress proprietary ABL (Advanced Business Language)

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

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.

User concepts

Access control

fine grained access rights according to SQL-standard

Users and groups

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