DBMS > BigchainDB vs. ClickHouse vs. dBASE vs. OmniSci

System Properties Comparison BigchainDB vs. ClickHouse vs. dBASE vs. OmniSci

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Editorial information provided by DB-Engines

Name

Description

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

Column-oriented Relational DBMS powering Yandex

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.

A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs

Primary database model

Document store

Relational DBMS

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

Score	0.78
Rank	#188	Overall
	#30	Document stores

Score	7.61
Rank	#54	Overall
	#31	Relational DBMS

Score	14.23
Rank	#39	Overall
	#24	Relational DBMS

Score	1.94
Rank	#125	Overall
	#63	Relational DBMS

Website

Technical documentation

bigchaindb.readthedocs.io/en/latest

clickhouse.tech/docs

www.dbase.com/support/knowledgebase

docs.omnisci.com

Developer

Yandex LLC

Asthon Tate

MapD Technologies, Inc.

Initial release

2016

1979

2016

Current release

v20.11.3.3-stable, November 2020

dBASE 2019, 2019

License

Commercial or Open Source

Open Source

AGPL v3

Open Source

Apache 2.0

commercial

Open Source

Apache Version 2; enterprise edition available

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

Python

C++

C++ and CUDA

Server operating systems

Linux

FreeBSD
Linux
macOS

DOS

dBase Classic
Windows

dBase Pro

Linux

Data scheme

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

SQL

Support of SQL

Close to ANSI SQL

yes

APIs and other access methods

CLI Client
RESTful HTTP API

HTTP REST
JDBC
ODBC
Proprietary protocol

none

The IDE can access other DBMS or ODBC-sources.

JDBC
ODBC
Thrift

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Scala

3rd party library

dBase proprietary IDE

All languages supporting JDBC/ODBC/Thrift
Python

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Round robin

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

Multi-source replication

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

yes

Access rights for users and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

DB-Engines Ranking coverage expanded to 169 database management systems
3 June 2013, Paul Andlinger

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