DBMS > Blueflood vs. OpenEdge vs. OushuDB

System Properties Comparison Blueflood vs. OpenEdge vs. OushuDB

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

Application development environment with integrated database management system

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Time Series DBMS

Relational DBMS

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Trend Chart

Score	0.06
Rank	#353	Overall
	#34	Time Series DBMS

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	0.04
Rank	#363	Overall
	#154	Relational DBMS

Website

blueflood.io

www.progress.com/openedge

www.oushu.com/product/oushuDB

Technical documentation

github.com/rax-maas/blueflood/wiki

documentation.progress.com/output/ua/OpenEdge_latest

www.oushu.com/documentation

Developer

Rackspace

Progress Software Corporation

Oushu

Initial release

2013

1984

Current release

OpenEdge 12.2, March 2020

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
OS X

AIX
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

predefined 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

Full-featured ANSI SQL support

APIs and other access methods

HTTP REST

JDBC
ODBC

Supported programming languages

Progress proprietary ABL (Advanced Business Language)

C
C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

horizontal partitioning

since Version 11.4

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

Kerberos, SSL and role based access

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