DBMS > JaguarDB vs. Transwarp KunDB vs. Ultipa

System Properties Comparison JaguarDB vs. Transwarp KunDB vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

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

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Key-value store
Vector DBMS

Relational DBMS

Graph DBMS

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

Score	0.00
Rank	#385	Overall
	#61	Key-value stores
	#16	Vector DBMS

Score	0.04
Rank	#362	Overall
	#154	Relational DBMS

Score	0.11
Rank	#338	Overall
	#32	Graph DBMS

Website

www.jaguardb.com

www.transwarp.cn/en/product/kundb

www.ultipa.com

Technical documentation

www.jaguardb.com/support.html

www.ultipa.com/document

Developer

DataJaguar, Inc.

Transwarp

Ultipa

Initial release

2015

2019

Current release

3.3 July 2023

License

Commercial or Open Source

Open Source

GPL V3.0

commercial

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++

the server part. Clients available in other languages

Server operating systems

Linux

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

yes

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

Supported programming languages

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

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

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

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

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

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Recent citations in the news

Ultipa, Inc. Announces Key Updates to Its Global Partnership Program
21 August 2024, EIN News

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