DBMS > dBASE vs. JaguarDB vs. ReductStore

System Properties Comparison dBASE vs. JaguarDB vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Performant, highly scalable DBMS for AI and IoT applications

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.

Primary database model

Relational DBMS

Key-value store
Vector DBMS

Time Series DBMS

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

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#15	Vector DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

www.dbase.com

www.jaguardb.com

github.com/reductstore
www.reduct.store

Technical documentation

www.dbase.com/support/knowledgebase

www.jaguardb.com/support.html

www.reduct.store/docs

Developer

Asthon Tate

DataJaguar, Inc.

ReductStore LLC

Initial release

1979

2015

2023

Current release

dBASE 2019, 2019

3.3 July 2023

1.9, March 2024

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

Open Source

Business Source License 1.1

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++

the server part. Clients available in other languages

C++, Rust

Server operating systems

DOS

dBase Classic
Windows

dBase Pro

Linux

Docker
Linux
macOS
Windows

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.

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

none

The IDE can access other DBMS or ODBC-sources.

JDBC
ODBC

HTTP API

Supported programming languages

dBase proprietary IDE

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

not for dBase internal data, but IDE does support transactions when accessing external DBMS

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.

User concepts

Access control

Access rights for users and roles

rights management via user accounts

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More resources

DB-Engines blog posts

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