DBMS > Amazon Redshift vs. Apache Doris vs. EXASOL vs. PostGIS

System Properties Comparison Amazon Redshift vs. Apache Doris vs. EXASOL vs. PostGIS

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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

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	0.61
Rank	#235	Overall
	#110	Relational DBMS

Score	1.66
Rank	#138	Overall
	#64	Relational DBMS

Score	20.16
Rank	#29	Overall
	#1	Spatial DBMS

Website

aws.amazon.com/redshift

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

www.exasol.com

postgis.net

Technical documentation

docs.aws.amazon.com/redshift

github.com/apache/doris/wiki

www.exasol.com/resources

postgis.net/documentation

Developer

Amazon (based on PostgreSQL)

Apache Software Foundation, originally contributed from Baidu

Exasol

Initial release

2012

2017

2000

2005

Current release

1.2.2, February 2023

3.4.2, February 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Open Source

GPL v2.0

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

Java

Server operating systems

hosted

Linux

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.

yes

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

.Net
JDBC
ODBC
WebSocket

Supported programming languages

All languages supporting JDBC/ODBC

Java

Java
Lua
Python
R

Server-side scripts

Stored procedures

user defined functions

in Python

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

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

Concurrency

Support for concurrent manipulation of data

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, groups and roles according to SQL-standard

yes

based on PostgreSQL

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