DBMS > EJDB vs. OushuDB vs. Transwarp KunDB vs. Transwarp StellarDB

System Properties Comparison EJDB vs. OushuDB vs. Transwarp KunDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Document store

Relational DBMS

Graph DBMS

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

Score	0.31
Rank	#296	Overall
	#44	Document stores

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.14
Rank	#341	Overall
	#149	Relational DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

github.com/Softmotions/ejdb

www.oushu.com/product/oushuDB

www.transwarp.cn/en/product/kundb

www.transwarp.cn/en/product/stellardb

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

www.oushu.com/documentation

Developer

Softmotions

Oushu

Transwarp

Initial release

2012

Current release

4.0.1, August 2020

License

Commercial or Open Source

Open Source

GPLv2

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

server-less

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

yes

Secondary indexes

yes

SQL

Support of SQL

Full-featured ANSI SQL support

yes

SQL-like query language

APIs and other access methods

in-process shared library

JDBC
ODBC

OpenCypher

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C
C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

User concepts

Access control

Kerberos, SSL and role based access

yes

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