DBMS > BigObject vs. OpenEdge

System Properties Comparison BigObject vs. OpenEdge

Please select another system to include it in the comparison.

Our visitors often compare BigObject and OpenEdge with MongoDB and Redis.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Application development environment with integrated database management system

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

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

Score	0.21
Rank	#345	Overall
	#150	Relational DBMS

Score	4.05
Rank	#92	Overall
	#48	Relational DBMS

Website

bigobject.io

www.progress.com/openedge

Technical documentation

docs.bigobject.io

documentation.progress.com/output/ua/OpenEdge_latest

Developer

BigObject, Inc.

Progress Software Corporation

Initial release

2015

1984

Current release

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

free community edition available

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.

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

AIX
HP-UX
Linux
Solaris
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

SQL-like DML and DDL statements

yes

close to SQL 92

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

JDBC
ODBC

Supported programming languages

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

Lua

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

none

Source-replica replication

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 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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Enterprise Application Development Platform | Progress OpenEdge
14 September 2014, Progress Software

SQL Vs. NoSQL Vs. NewSQL: Finding The Right Solution
17 August 2015, Dataconomy

provided by Google News

Share this page