DBMS > Derby vs. openGauss vs. OushuDB vs. TigerGraph

System Properties Comparison Derby vs. openGauss vs. OushuDB vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

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

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

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	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	0.04
Rank	#363	Overall
	#154	Relational DBMS

Score	1.83
Rank	#139	Overall
	#13	Graph DBMS

Website

db.apache.org/derby

gitee.com/opengauss
opengauss.org

www.oushu.com/product/oushuDB

www.tigergraph.com

Technical documentation

db.apache.org/derby/manuals/index.html

docs.opengauss.org/en
gitee.com/opengauss/docs

www.oushu.com/documentation

docs.tigergraph.com

Developer

Apache Software Foundation

Huawei and openGauss community

Oushu

Initial release

1997

2019

2017

Current release

10.17.1.0, November 2023

3.0, March 2022

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

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

Java

C, C++, Java

C++

Server operating systems

All OS with a Java VM

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL 2011

Full-featured ANSI SQL support

SQL-like query language (GSQL)

APIs and other access methods

JDBC

JDBC
ODBC

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

Java

C
C++
Java

C
C++

C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users, groups and roles according to SQL-standard

Kerberos, SSL and role based access

Role-based access control

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