DBMS > JaguarDB vs. Transwarp StellarDB vs. YTsaurus

System Properties Comparison JaguarDB vs. Transwarp StellarDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

A distributed graph DBMS built for enterprise-level graph applications

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

Primary database model

Key-value store
Vector DBMS

Graph DBMS

Document store
Key-value store

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

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#13	Vector DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

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

Website

www.jaguardb.com

www.transwarp.cn/en/product/stellardb

ytsaurus.tech

Technical documentation

www.jaguardb.com/support.html

ytsaurus.tech/docs/en

Developer

DataJaguar, Inc.

Transwarp

Yandex

Initial release

2015

2023

Current release

3.3 July 2023

License

Commercial or Open Source

Open Source

GPL V3.0

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++

the server part. Clients available in other languages

C++

Server operating systems

Linux

Ubuntu

Data 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.

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
ODBC

OpenCypher

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual 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

rights management via user accounts

yes

Access Control Lists

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