DBMS > openGemini vs. ReductStore

System Properties Comparison openGemini vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

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

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Time Series DBMS

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

Score	0.00
Rank	#382	Overall
	#41	Time Series DBMS

Score	0.05
Rank	#357	Overall
	#37	Time Series DBMS

Website

www.opengemini.org
github.com/openGemini

github.com/reductstore
www.reduct.store

Technical documentation

docs.opengemini.org/guide

www.reduct.store/docs

Developer

Huawei and openGemini community

ReductStore LLC

Initial release

2022

2023

Current release

1.1, July 2023

1.9, March 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Business Source License 1.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++, Rust

Server operating systems

Linux
Windows

Docker
Linux
macOS
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

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

SQL-like query language

APIs and other access methods

HTTP REST

HTTP API

Supported programming languages

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

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

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

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

Administrators and common users accounts

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More resources

Recent citations in the news

Huawei OpenGemini cloud series joined OpenEuler
17 March 2023, Huawei Central

Open Source @ Huawei
9 February 2022, Huawei

provided by Google News

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