DBMS > TDSQL for MySQL vs. Transwarp StellarDB vs. Ultipa

System Properties Comparison TDSQL for MySQL vs. Transwarp StellarDB vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

A distributed graph DBMS built for enterprise-level graph applications

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Relational DBMS

Graph DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.85
Rank	#207	Overall
	#97	Relational DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

www.tencentcloud.com/products/dcdb

www.transwarp.cn/en/product/stellardb

www.ultipa.com

Technical documentation

www.tencentcloud.com/document/product/1042

www.ultipa.com/document

Developer

Tencent

Transwarp

Ultipa

Initial release

2013

2019

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

hosted

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

yes

SQL-like query language

APIs and other access methods

JDBC
ODBC

OpenCypher

RESTful HTTP API

Supported programming languages

C
C#
C++
Java
PHP
Python
Ruby

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

Automatic sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

Users with fine-grained authorization concept

yes

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