DBMS > atoti vs. Newts vs. openGauss vs. PostGIS

System Properties Comparison atoti vs. Newts vs. openGauss vs. PostGIS

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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.

Time Series DBMS based on Cassandra

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

Spatial extension of PostgreSQL

Primary database model

Secondary database models

Document store
Spatial DBMS

Relational DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

atoti.io

opennms.github.io/newts

gitee.com/opengauss
opengauss.org

postgis.net

Technical documentation

docs.atoti.io

github.com/OpenNMS/newts/wiki

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

postgis.net/documentation

Developer

ActiveViam

OpenNMS Group

Huawei and openGauss community

Initial release

2014

2019

2005

Current release

3.0, March 2022

3.4.2, February 2024

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 2.0

Open Source

GPL v2.0

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

Java

C, C++, Java

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

schema-free

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

ANSI SQL 2011

yes

APIs and other access methods

HTTP REST
Java API

JDBC
ODBC

Supported programming languages

Java

C
C++
Java

Server-side scripts

Stored procedures

Python

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

based on Cassandra

horizontal partitioning (by range, list and hash)

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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, multi-version concurrency control (MVCC)

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

Access rights for users, groups and roles according to SQL-standard

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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