DBMS > 4D vs. atoti vs. Graph Engine vs. Newts vs. RDFox

System Properties Comparison 4D vs. atoti vs. Graph Engine vs. Newts vs. RDFox

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Time Series DBMS based on Cassandra

High performance knowledge graph and semantic reasoning engine

Primary database model

Relational DBMS

Object oriented DBMS

Graph DBMS
Key-value store

Time Series DBMS

Graph DBMS
RDF store

Secondary database models

Relational DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.07
Rank	#375	Overall
	#41	Time Series DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Website

www.4d.com

atoti.io

www.graphengine.io

opennms.github.io/newts

www.oxfordsemantic.tech

Technical documentation

developer.4d.com

docs.atoti.io

www.graphengine.io/docs/manual

github.com/OpenNMS/newts/wiki

docs.oxfordsemantic.tech

Developer

4D, Inc

ActiveViam

Microsoft

OpenNMS Group

Oxford Semantic Technologies

Initial release

1984

2010

2014

2017

Current release

v20, April 2023

6.0, Septermber 2022

License

Commercial or Open Source

commercial

free versions available

Open Source

MIT License

Open Source

Apache 2.0

commercial

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

.NET and C

Java

C++

Server operating systems

OS X
Windows

.NET

Linux
OS X
Windows

Linux
macOS
Windows

Data scheme

yes

schema-free

yes

RDF schemas

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

Multidimensional Expressions (MDX)

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

RESTful HTTP API

HTTP REST
Java API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

4D proprietary IDE
PHP

C#
C++
F#
Visual Basic

Java

C
Java

Server-side scripts

Stored procedures

yes

Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

horizontal partitioning

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

selectable replication factor

based on Cassandra

replication via a shared file system

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

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

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

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

Users and groups

Roles, resources, and access types

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More resources

DB-Engines blog posts

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