DBMS > Amazon Redshift vs. RDFox vs. RisingWave

System Properties Comparison Amazon Redshift vs. RDFox vs. RisingWave

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

High performance knowledge graph and semantic reasoning engine

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Primary database model

Relational DBMS

Graph DBMS
RDF store

Relational DBMS

Secondary database models

Relational DBMS

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

Score	14.57
Rank	#37	Overall
	#22	Relational DBMS

Score	0.26
Rank	#291	Overall
	#23	Graph DBMS
	#12	RDF stores

Score	0.64
Rank	#226	Overall
	#104	Relational DBMS

Website

aws.amazon.com/redshift

www.oxfordsemantic.tech

www.risingwave.com/database

Technical documentation

docs.aws.amazon.com/redshift

docs.oxfordsemantic.tech

docs.risingwave.com/docs/current/intro

Developer

Amazon (based on PostgreSQL)

Oxford Semantic Technologies

RisingWave Labs

Initial release

2012

2017

2022

Current release

6.0, Septermber 2022

1.2, September 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 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++

Rust

Server operating systems

hosted

Linux
macOS
Windows

Docker
Linux
macOS

Data scheme

yes

RDF schemas

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

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

RESTful HTTP API
SPARQL 1.1

JDBC
PostgreSQL wire protocol

Supported programming languages

All languages supporting JDBC/ODBC

C
Java

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

in Python

UDFs in Python or Java

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

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

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

Roles, resources, and access types

Users and Roles

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More resources

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2 October 2015, Paul Andlinger

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