DBMS > openGauss vs. WakandaDB

System Properties Comparison openGauss vs. WakandaDB

Please select another system to include it in the comparison.

Our visitors often compare openGauss and WakandaDB with Amazon DynamoDB.

Editorial information provided by DB-Engines

Name

Description

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

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Object oriented DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.49
Rank	#186	Overall
	#90	Relational DBMS

Score	0.04
Rank	#392	Overall
	#22	Object oriented DBMS

Website

gitee.com/opengauss
opengauss.org

wakanda.github.io

Technical documentation

gitee.com/opengauss/docs
opengauss.org/en/docs/latest/docs/BriefTutorial/BriefTutorial.html

doc.wakanda.org/home2.en.html#/Datastore/Introduction.200-588937.en.html

Developer

Huawei and openGauss community

Wakanda SAS

Initial release

2019

2012

Current release

3.0, March 2022

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

AGPLv3, extended commercial license available

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, C++, Java

C++, JavaScript

Server operating systems

Linux

Linux
OS X
Windows

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

ANSI SQL 2011

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

Supported programming languages

C
C++
Java

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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

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

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

yes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Ethiopian Students Finish third in Global ICT Competition ...
29 May 2023, Ethiopian Monitor

Nine University Students Represent Ethiopia in Huawei ICT ...
24 May 2023, Ethiopian Monitor

OpenGauss gathers innovative forces to promote breakthrough ...
30 December 2021, Global Times

About HUAWEI Open Source
9 February 2022, huawei.com

Huawei's Four Open Source Basic Software Projects Infuse ...
12 October 2020, PR Newswire

provided by Google News

Share this page