DBMS > OpenQM vs. Transwarp KunDB vs. YTsaurus

System Properties Comparison OpenQM vs. Transwarp KunDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

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

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Multivalue DBMS

Relational DBMS

Document store
Key-value store

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

Score	0.34
Rank	#284	Overall
	#10	Multivalue DBMS

Score	0.14
Rank	#341	Overall
	#149	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

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

www.transwarp.cn/en/product/kundb

ytsaurus.tech

Technical documentation

ytsaurus.tech/docs/en

Developer

Rocket Software, originally Martin Phillips

Transwarp

Yandex

Initial release

1993

2023

Current release

3.4-12

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Ubuntu

Data scheme

yes

with some exceptions

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

YQL, an SQL-based language, is supported

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

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

User concepts

Access control

Access rights can be defined down to the item level

yes

Access Control Lists

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