DBMS > STSdb vs. Transwarp KunDB vs. YTsaurus

System Properties Comparison STSdb vs. Transwarp KunDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

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

Key-value store

Relational DBMS

Document store
Key-value store

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

Score	0.03
Rank	#363	Overall
	#54	Key-value stores

Score	0.00
Rank	#378	Overall
	#156	Relational DBMS

Score	0.13
Rank	#334	Overall
	#45	Document stores
	#49	Key-value stores

Website

github.com/STSSoft/STSdb4

www.transwarp.cn/en/product/kundb

ytsaurus.tech

Technical documentation

ytsaurus.tech/docs/en

Developer

STS Soft SC

Transwarp

Yandex

Initial release

2011

2023

Current release

4.0.8, September 2015

License

Commercial or Open Source

Open Source

GPLv2, commercial license available

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Windows

Ubuntu

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

SQL

Support of SQL

yes

YQL, an SQL-based language, is supported

APIs and other access methods

.NET Client API

Supported programming languages

C#
Java

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

yes

Access Control Lists

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