DBMS > openGauss vs. VoltDB

System Properties Comparison openGauss vs. VoltDB

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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

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.97
Rank	#188	Overall
	#85	Relational DBMS

Score	1.23
Rank	#161	Overall
	#72	Relational DBMS

Website

gitee.com/opengauss
opengauss.org

www.voltdb.com

Technical documentation

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

docs.voltdb.com

Developer

Huawei and openGauss community

VoltDB Inc.

Initial release

2019

2010

Current release

3.0, March 2022

11.3, April 2022

License

Commercial or Open Source

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Java, C++

Server operating systems

Linux

Linux
OS X

for development

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

yes

only a subset of SQL 99

APIs and other access methods

JDBC
ODBC

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

C
C++
Java

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

yes

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

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

Users and roles with access to stored procedures

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More resources

Recent citations in the news

openGauss Open Source Community Officially Launch
1 July 2020, Huawei

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25 April 2021, Global Times

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12 January 2024, tu.ac.th

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30 September 2020, Huawei

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12 February 2015, InformationWeek

Openet Selects VoltDB for In-Memory Database Technology
3 April 2014, The Fast Mode

VoltDB introduces world’s fastest data platform for 5G expansion
20 August 2018, Geospatial World

provided by Google News

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