DBMS > 4D vs. Kuzu vs. Newts

System Properties Comparison 4D vs. Kuzu vs. Newts

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An embeddable property Graph DBMS built for query speed and scalability

Time Series DBMS based on Cassandra

Primary database model

Relational DBMS

Graph DBMS

Time Series DBMS

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

Score	2.27
Rank	#112	Overall
	#54	Relational DBMS

Score	0.01
Rank	#381	Overall
	#39	Graph DBMS

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Website

www.4d.com

kuzudb.com

opennms.github.io/newts

Technical documentation

developer.4d.com

docs.kuzudb.com

github.com/OpenNMS/newts/wiki

Developer

4D, Inc

OpenNMS Group

Initial release

1984

2022

2014

Current release

v20, April 2023

0.4.2, May 2024

License

Commercial or Open Source

commercial

Open Source

MIT license

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Java

Server operating systems

OS X
Windows

server-less

Linux
OS X
Windows

Data scheme

yes

schema-free

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

yes

close to SQL 92

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

CLI Client
Cypher Query Language

HTTP REST
Java API

Supported programming languages

4D proprietary IDE
PHP

C
C#
C++
Java
JavaScript
Python
Rust

Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

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.

User concepts

Access control

Users and groups

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