DBMS > OpenQM vs. OrigoDB vs. RocksDB vs. VelocityDB vs. Warp 10

System Properties Comparison OpenQM vs. OrigoDB vs. RocksDB vs. VelocityDB vs. Warp 10

Editorial information provided by DB-Engines

Name

Description

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

A fully ACID in-memory object graph database

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Multivalue DBMS

Document store
Object oriented DBMS

Key-value store

Graph DBMS
Object oriented DBMS

Time Series DBMS

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

Score	0.27
Rank	#298	Overall
	#10	Multivalue DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Score	0.07
Rank	#349	Overall
	#32	Time Series DBMS

Website

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

Technical documentation

origodb.com/docs

github.com/facebook/rocksdb/wiki

velocitydb.com/UserGuide

www.warp10.io/content/02_Getting_started

Developer

Rocket Software, originally Martin Phillips

Robert Friberg et al

Facebook, Inc.

VelocityDB Inc

SenX

Initial release

1993

2009

under the name LiveDB

2013

2011

2015

Current release

3.4-12

8.11.4, April 2024

7.x

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

Open Source

BSD

commercial

Open Source

Apache License 2.0

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++

Java

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux
Windows

Linux

Any that supports .NET

Linux
OS X
Windows

Data scheme

yes

with some exceptions

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

.NET Client API
HTTP API
LINQ

C++ API
Java API

.Net

HTTP API
Jupyter
WebSocket

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

.Net

C
C++
Go
Java
Perl
Python
Ruby

.Net

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Domain Events

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

client side managed; servers are not synchronized

horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

yes

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

Access rights can be defined down to the item level

Role based authorization

Based on Windows Authentication

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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