DBMS > OpenEdge vs. StarRocks

System Properties Comparison OpenEdge vs. StarRocks

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Relational DBMS

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

Score	3.48
Rank	#74	Overall
	#39	Relational DBMS

Score	1.01
Rank	#181	Overall
	#81	Relational DBMS

Website

www.progress.com/openedge

www.starrocks.io

Technical documentation

documentation.progress.com/output/ua/OpenEdge_latest

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Progress Software Corporation

The Linux Foundation

since Feb 2023

Initial release

1984

2020

Current release

OpenEdge 12.2, March 2020

3.3, June 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++, Java

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Linux

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

yes

APIs and other access methods

JDBC
ODBC

JDBC
MySQL protocol

Supported programming languages

Progress proprietary ABL (Advanced Business Language)

Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

since Version 11.4

horizontal partitioning (by range and hash)

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

Users and groups

Role based access control and fine grained access rights

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