DBMS > 4D vs. ReductStore vs. TerminusDB vs. Transwarp ArgoDB

System Properties Comparison 4D vs. ReductStore vs. TerminusDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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.

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Secondary database models

Document store
RDF store

Search engine

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

www.4d.com

github.com/reductstore
www.reduct.store

terminusdb.com

www.transwarp.cn/en/product/argodb

Technical documentation

developer.4d.com

www.reduct.store/docs

terminusdb.github.io/terminusdb/#

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

4D, Inc

ReductStore LLC

DataChemist Ltd.

Transwarp

Initial release

1984

2023

2018

Current release

v20, April 2023

1.9, March 2024

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

Open Source

GPL V3

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

C++, Rust

Prolog, Rust

Server operating systems

OS X
Windows

Docker
Linux
macOS
Windows

Linux

Data scheme

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

yes

close to SQL 92

SQL-like query language (WOQL)

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

4D proprietary IDE
PHP

C++
JavaScript (Node.js)
Python
Rust

JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

Durability

Support for making data persistent

yes

in-memory journaling

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

Role-based access control

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More resources

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