DBMS > OpenEdge vs. Oracle Rdb vs. TerminusDB vs. Transwarp Hippo

System Properties Comparison OpenEdge vs. Oracle Rdb vs. TerminusDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Relational DBMS

Graph DBMS

Vector DBMS

Secondary database models

Document store
RDF store

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

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

www.progress.com/openedge

www.oracle.com/database/technologies/related/rdb.html

terminusdb.com

www.transwarp.cn/en/subproduct/hippo

Technical documentation

documentation.progress.com/output/ua/OpenEdge_latest

www.oracle.com/database/technologies/related/rdb-doc.html

terminusdb.github.io/terminusdb/#

Developer

Progress Software Corporation

Oracle, originally developed by Digital Equipment Corporation (DEC)

DataChemist Ltd.

Initial release

1984

2018

2023

Current release

OpenEdge 12.2, March 2020

7.4.1.1, 2021

11.0.0, January 2023

1.0, May 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3

commercial

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

Prolog, Rust

C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

HP Open VMS

Linux

Linux
macOS

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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

SQL-like query language (WOQL)

APIs and other access methods

JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

RESTful HTTP API

Supported programming languages

Progress proprietary ABL (Advanced Business Language)

JavaScript
Python

C++
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

since Version 11.4

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Journaling Streams

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

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

In-memory capabilities

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

yes

User concepts

Access control

Users and groups

Role-based access control

Role based access control and fine grained access rights

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More resources

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