DBMS > Amazon Redshift vs. Bangdb vs. dBASE vs. Dgraph vs. KairosDB

System Properties Comparison Amazon Redshift vs. Bangdb vs. dBASE vs. Dgraph vs. KairosDB

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Converged and high performance database for device data, events, time series, document and graph

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.

Distributed and scalable native Graph DBMS

Distributed Time Series DBMS based on Cassandra or H2

Primary database model

Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Relational DBMS

Graph DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	14.07
Rank	#38	Overall
	#23	Relational DBMS

Score	0.07
Rank	#347	Overall
	#48	Document stores
	#36	Graph DBMS
	#31	Time Series DBMS

Score	8.32
Rank	#43	Overall
	#27	Relational DBMS

Score	1.34
Rank	#157	Overall
	#15	Graph DBMS

Score	0.57
Rank	#238	Overall
	#20	Time Series DBMS

Website

aws.amazon.com/redshift

bangdb.com

www.dbase.com

dgraph.io

github.com/kairosdb/kairosdb

Technical documentation

docs.aws.amazon.com/redshift

docs.bangdb.com

www.dbase.com/support/knowledgebase

dgraph.io/docs

kairosdb.github.io

Developer

Amazon (based on PostgreSQL)

Sachin Sinha, BangDB

Asthon Tate

Dgraph Labs, Inc.

Initial release

2012

1979

2016

2013

Current release

BangDB 2.0, October 2021

dBASE 2019, 2019

1.2.2, November 2018

License

Commercial or Open Source

commercial

Open Source

BSD 3

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

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, C++

Java

Server operating systems

hosted

Linux

DOS

dBase Classic
Windows

dBase Pro

Linux
OS X
Windows

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

yes: string, long, double, int, geospatial, stream, events

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

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL like support with command line tool

APIs and other access methods

JDBC
ODBC

Proprietary protocol
RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

Graphite protocol
HTTP REST
Telnet API

Supported programming languages

All languages supporting JDBC/ODBC

C
C#
C++
Java
Python

dBase proprietary IDE

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

Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in Python

The IDE can access stored procedures in other database systems.

Triggers

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

none

yes

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor, Knob for CAP (enterprise version only)

none

Synchronous replication via Raft

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Tunable consistency, set CAP knob accordingly

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes, run db with in-memory only mode

User concepts

Access control

fine grained access rights according to SQL-standard

yes (enterprise version only)

Access rights for users and roles

Planned for future releases

simple password-based access control

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