DBMS > atoti vs. openGemini vs. OrigoDB

System Properties Comparison atoti vs. openGemini vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

A fully ACID in-memory object graph database

Primary database model

Object oriented DBMS

Time Series DBMS

Document store
Object oriented DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.01
Rank	#375	Overall
	#39	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Website

atoti.io

www.opengemini.org
github.com/openGemini

origodb.com

Technical documentation

docs.atoti.io

docs.opengemini.org/guide

origodb.com/docs

Developer

ActiveViam

Huawei and openGemini community

Robert Friberg et al

Initial release

2022

2009

under the name LiveDB

Current release

1.1, July 2023

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache Version 2.0

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Integer, Float, Boolean, String

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

SQL-like query language

APIs and other access methods

HTTP REST

.NET Client API
HTTP API
LINQ

Supported programming languages

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

.Net

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

Write ahead log

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

Role based authorization

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More resources

Recent citations in the news

Best use of cloud: ActiveViam
28 November 2023, Risk.net

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

About HUAWEI Open Source
9 February 2022, Huawei

provided by Google News

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