DBMS > EventStoreDB vs. openGauss vs. OpenTenBase

System Properties Comparison EventStoreDB vs. openGauss vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

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

An enterprise-level distributed HTAP open source database based on PostgreSQL

Primary database model

Event Store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	1.06
Rank	#184	Overall
	#84	Relational DBMS

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Website

www.eventstore.com

gitee.com/opengauss
opengauss.org

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

Technical documentation

developers.eventstore.com

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

docs.opentenbase.org
docs.opentenbase.org/en

Developer

Event Store Limited

Huawei and openGauss community

OpenAtom Foundation, previously Tencent

Initial release

2012

2019

Current release

21.2, February 2021

3.0, March 2022

2.5, January 2024

License

Commercial or Open Source

Open Source

BSD-3

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

Server operating systems

Linux
Windows

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

ANSI SQL 2011

yes

APIs and other access methods

JDBC
ODBC

Supported programming languages

C
C++
Java

C
Go
Java
PHP
Python

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)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

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

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