DBMS > Blueflood vs. OpenQM vs. Ultipa

System Properties Comparison Blueflood vs. OpenQM vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

QpenQM is a high-performance, self-tuning, multi-value DBMS

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Time Series DBMS

Multivalue DBMS

Graph DBMS

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

Score	0.13
Rank	#346	Overall
	#33	Time Series DBMS

Score	0.34
Rank	#284	Overall
	#10	Multivalue DBMS

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

blueflood.io

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

www.ultipa.com

Technical documentation

github.com/rax-maas/blueflood/wiki

www.ultipa.com/document

Developer

Rackspace

Rocket Software, originally Martin Phillips

Ultipa

Initial release

2013

1993

2019

Current release

3.4-12

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPLv2, extended commercial license 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.

Implementation language

Java

Server operating systems

Linux
OS X

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

predefined scheme

yes

with some exceptions

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

APIs and other access methods

HTTP REST

RESTful HTTP API

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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

Access rights can be defined down to the item level

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