DBMS > AgensGraph vs. Amazon Redshift vs. BigchainDB vs. dBASE

System Properties Comparison AgensGraph vs. Amazon Redshift vs. BigchainDB vs. dBASE

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Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

Large scale data warehouse service for use with business intelligence tools

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

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.

Primary database model

Graph DBMS
Relational DBMS

Relational DBMS

Document store

Relational DBMS

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

Score	0.20
Rank	#321	Overall
	#27	Graph DBMS
	#143	Relational DBMS

Score	17.94
Rank	#34	Overall
	#21	Relational DBMS

Score	0.79
Rank	#212	Overall
	#36	Document stores

Score	10.34
Rank	#44	Overall
	#28	Relational DBMS

Website

bitnine.net/agensgraph

aws.amazon.com/redshift

www.bigchaindb.com

www.dbase.com

Technical documentation

bitnine.net/documentation

docs.aws.amazon.com/redshift

bigchaindb.readthedocs.io/en/latest

www.dbase.com/support/knowledgebase

Developer

Bitnine Global Inc.

Amazon (based on PostgreSQL)

Asthon Tate

Initial release

2016

2012

2016

1979

Current release

2.1, December 2018

dBASE 2019, 2019

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

AGPL v3

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

Python

Server operating systems

Linux
OS X
Windows

hosted

Linux

DOS

dBase Classic
Windows

dBase Pro

Data scheme

depending on used data model

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

yes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

APIs and other access methods

Cypher Query Language
JDBC

JDBC
ODBC

CLI Client
RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

Supported programming languages

C
Java
JavaScript
Python

All languages supporting JDBC/ODBC

Go
Haskell
Java
JavaScript
Python
Ruby

dBase proprietary IDE

Server-side scripts

Stored procedures

yes

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

no, but can be realized using table inheritance

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

selectable replication factor

none

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

yes,with MongoDB ord RethinkDB

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

yes

Access rights for users and roles

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