DBMS > Amazon Redshift vs. Apache Doris vs. DuckDB

System Properties Comparison Amazon Redshift vs. Apache Doris vs. DuckDB

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

An MPP-based analytics DBMS embracing the MySQL protocol

An embeddable, in-process, column-oriented SQL OLAP RDBMS

Primary database model

Relational DBMS

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Trend Chart

Score	23.26
Rank	#32	Overall
	#18	Relational DBMS

Score	0.69
Rank	#244	Overall
	#115	Relational DBMS

Score	1.68
Rank	#153	Overall
	#73	Relational DBMS

Website

aws.amazon.com/redshift

doris.apache.org
github.com/apache/doris

duckdb.org

Technical documentation

docs.aws.amazon.com/redshift

github.com/apache/doris/wiki

duckdb.org/docs

Developer

Amazon (based on PostgreSQL)

Apache Software Foundation, originally contributed from Baidu

Initial release

2012

2017

2018

Current release

0.14, May 2021

0.2, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

MIT License

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

hosted

Linux

server-less

Data scheme

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

yes

APIs and other access methods

JDBC
ODBC

JDBC
MySQL client

CLI Client
JDBC

Supported programming languages

All languages supporting JDBC/ODBC

Java

C
C++
Go

3rd party driver
Java
Python
R
Ruby

3rd party driver

Server-side scripts

Stored procedures

user defined functions

in Python

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

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