DBMS > Amazon Redshift vs. dBASE vs. Memcached vs. SpaceTime

System Properties Comparison Amazon Redshift vs. dBASE vs. Memcached vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

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.

In-memory key-value store, originally intended for caching

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Relational DBMS

Key-value store

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	9.16
Rank	#43	Overall
	#27	Relational DBMS

Score	16.84
Rank	#32	Overall
	#4	Key-value stores

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Website

aws.amazon.com/redshift

www.dbase.com

www.memcached.org

www.mireo.com/spacetime

Technical documentation

docs.aws.amazon.com/redshift

www.dbase.com/support/knowledgebase

github.com/memcached/memcached/wiki

Developer

Amazon (based on PostgreSQL)

Asthon Tate

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Mireo

Initial release

2012

1979

2003

2020

Current release

dBASE 2019, 2019

1.6.29, June 2024

License

Commercial or Open Source

commercial

Open Source

BSD license

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

hosted

DOS

dBase Classic
Windows

dBase Pro

FreeBSD
Linux
OS X
Unix
Windows

Linux

Data scheme

yes

schema-free

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

A subset of ANSI SQL is implemented

APIs and other access methods

JDBC
ODBC

none

The IDE can access other DBMS or ODBC-sources.

Proprietary protocol

RESTful HTTP API

Supported programming languages

All languages supporting JDBC/ODBC

dBase proprietary IDE

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

C#
C++
Python

Server-side scripts

Stored procedures

user defined functions

in Python

The IDE can access stored procedures in other database systems.

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Repcached, a Memcached patch, provides this functionallity

Real-time block device replication (DRBD)

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

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

yes

using SASL (Simple Authentication and Security Layer) protocol

yes

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