DBMS > dBASE vs. FeatureBase vs. Postgres-XL

System Properties Comparison dBASE vs. FeatureBase vs. Postgres-XL

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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.

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	11.18
Rank	#44	Overall
	#28	Relational DBMS

Score	0.26
Rank	#304	Overall
	#138	Relational DBMS

Score	0.52
Rank	#256	Overall
	#117	Relational DBMS

Website

www.dbase.com

www.featurebase.com

www.postgres-xl.org

Technical documentation

www.dbase.com/support/knowledgebase

docs.featurebase.com

www.postgres-xl.org/documentation

Developer

Asthon Tate

Molecula and Pilosa Open Source Contributors

Initial release

1979

2017

2014

since 2012, originally named StormDB

Current release

dBASE 2019, 2019

2022, May 2022

10 R1, October 2018

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

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

Server operating systems

DOS

dBase Classic
Windows

dBase Pro

Linux
macOS

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

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

SQL queries

yes

distributed, parallel query execution

APIs and other access methods

none

The IDE can access other DBMS or ODBC-sources.

gRPC
JDBC
Kafka Connector
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

dBase proprietary IDE

Java
Python

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

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

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

yes

ACID

MVCC

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

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

Access rights for users and roles

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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