DBMS > BigObject vs. Kingbase vs. OpenEdge vs. TerminusDB

System Properties Comparison BigObject vs. Kingbase vs. OpenEdge vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

Application development environment with integrated database management system

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

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Graph DBMS

Secondary database models

Document store
Spatial DBMS

Document store
RDF store

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

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	0.44
Rank	#258	Overall
	#117	Relational DBMS

Score	3.69
Rank	#78	Overall
	#42	Relational DBMS

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Website

bigobject.io

www.kingbase.com.cn

www.progress.com/openedge

terminusdb.com

Technical documentation

docs.bigobject.io

documentation.progress.com/output/ua/OpenEdge_latest

terminusdb.github.io/terminusdb/#

Developer

BigObject, Inc.

BeiJing KINGBASE Information technologies inc.

Progress Software Corporation

DataChemist Ltd.

Initial release

2015

1999

1984

2018

Current release

V8.0, August 2021

OpenEdge 12.2, March 2020

11.0.0, January 2023

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

GPL V3

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 and Java

Prolog, Rust

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
Windows

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

SQL-like DML and DDL statements

Standard with numerous extensions

yes

close to SQL 92

SQL-like query language (WOQL)

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

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

Progress proprietary ABL (Advanced Business Language)

JavaScript
Python

Server-side scripts

Stored procedures

Lua

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash) and vertical partitioning

horizontal partitioning

since Version 11.4

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

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

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

in-memory journaling

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users and groups

Role-based access control

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