DBMS > EsgynDB vs. EventStoreDB vs. openGemini vs. YottaDB

System Properties Comparison EsgynDB vs. EventStoreDB vs. openGemini vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

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

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

A fast and solid embedded Key-value store

Primary database model

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	0.09
Rank	#361	Overall
	#37	Time Series DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

www.esgyn.cn

www.eventstore.com

www.opengemini.org
github.com/openGemini

yottadb.com

Technical documentation

developers.eventstore.com

docs.opengemini.org/guide

yottadb.com/resources/documentation

Developer

Esgyn

Event Store Limited

Huawei and openGemini community

YottaDB, LLC

Initial release

2015

2012

2022

2001

Current release

21.2, February 2021

1.1, July 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

AGPL 3.0

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++, Java

Server operating systems

Linux

Linux
Windows

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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

yes

SQL-like query language

by using the Octo plugin

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP REST

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

optimistic locking

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

Administrators and common users accounts

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

About HUAWEI Open Source
9 February 2022, huawei.com

provided by Google News

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