DBMS > Amazon Redshift vs. BigObject vs. dBASE vs. HBase vs. RDFox

System Properties Comparison Amazon Redshift vs. BigObject vs. dBASE vs. HBase vs. RDFox

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Analytic DBMS for real-time computations and queries

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.

Wide-column store based on Apache Hadoop and on concepts of BigTable

High performance knowledge graph and semantic reasoning engine

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Wide column store

Graph DBMS
RDF store

Secondary database models

Relational DBMS

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	0.19
Rank	#329	Overall
	#146	Relational DBMS

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Website

aws.amazon.com/redshift

bigobject.io

www.dbase.com

hbase.apache.org

www.oxfordsemantic.tech

Technical documentation

docs.aws.amazon.com/redshift

docs.bigobject.io

www.dbase.com/support/knowledgebase

hbase.apache.org/book.html

docs.oxfordsemantic.tech

Developer

Amazon (based on PostgreSQL)

BigObject, Inc.

Asthon Tate

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Oxford Semantic Technologies

Initial release

2012

2015

1979

2008

2017

Current release

dBASE 2019, 2019

2.3.4, January 2021

6.0, Septermber 2022

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

Apache version 2

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

Java

C++

Server operating systems

hosted

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

DOS

dBase Classic
Windows

dBase Pro

Linux
Unix
Windows

using Cygwin

Linux
macOS
Windows

Data scheme

yes

schema-free, schema definition possible

yes

RDF schemas

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

fluentd
ODBC
RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

Java API
RESTful HTTP API
Thrift

RESTful HTTP API
SPARQL 1.1

Supported programming languages

All languages supporting JDBC/ODBC

dBase proprietary IDE

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
Java

Server-side scripts

Stored procedures

user defined functions

in Python

Lua

The IDE can access stored procedures in other database systems.

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication
Source-replica replication

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency or Eventual Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

automatically between fact table and dimension tables

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

Single row ACID (across millions of columns)

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Roles, resources, and access types

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