DBMS > 4D vs. STSdb vs. Tkrzw vs. Transbase vs. Transwarp ArgoDB

System Properties Comparison 4D vs. STSdb vs. Tkrzw vs. Transbase vs. Transwarp ArgoDB

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

A resource-optimized, high-performance, universally applicable RDBMS

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Search engine

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Score	0.17
Rank	#334	Overall
	#148	Relational DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

www.4d.com

github.com/STSSoft/STSdb4

dbmx.net/tkrzw

www.transaction.de/en/products/transbase.html

www.transwarp.cn/en/product/argodb

Technical documentation

developer.4d.com

www.transaction.de/en/products/transbase/features.html

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

Developer

4D, Inc

STS Soft SC

Mikio Hirabayashi

Transaction Software GmbH

Transwarp

Initial release

1984

2011

2020

1987

Current release

v20, April 2023

4.0.8, September 2015

0.9.3, August 2020

Transbase 8.3, 2022

License

Commercial or Open Source

commercial

Open Source

GPLv2, commercial license available

Open Source

Apache Version 2.0

commercial

free development license

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++

C and C++

Server operating systems

OS X
Windows

Windows

Linux
macOS

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

.NET Client API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

4D proprietary IDE
PHP

C#
Java

C++
Java
Python
Ruby

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

Source-replica replication

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

yes

Concurrency

Support for concurrent manipulation of data

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

using specific database classes

User concepts

Access control

Users and groups

fine grained access rights according to SQL-standard

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