DBMS > Amazon Redshift vs. IBM Db2 warehouse vs. SQream DB vs. TerminusDB

System Properties Comparison Amazon Redshift vs. IBM Db2 warehouse vs. SQream DB vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Cloud-based data warehousing service

a GPU-based, columnar RDBMS for big data analytics workloads

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Relational DBMS

Graph DBMS

Secondary database models

Document store
RDF store

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Trend Chart

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

Score	0.74
Rank	#224	Overall
	#103	Relational DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

aws.amazon.com/redshift

www.ibm.com/products/db2/warehouse

sqream.com

terminusdb.com

Technical documentation

docs.aws.amazon.com/redshift

docs.sqream.com

terminusdb.github.io/terminusdb/#

Developer

Amazon (based on PostgreSQL)

IBM

SQream Technologies

DataChemist Ltd.

Initial release

2012

2014

2017

2018

Current release

2022.1.6, December 2022

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3

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++, CUDA, Haskell, Java, Scala

Prolog, Rust

Server operating systems

hosted

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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.

Import/export of XML data possible

Secondary indexes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

SQL-like query language (WOQL)

APIs and other access methods

JDBC
ODBC

.NET Client API
JDBC
ODBC
OLE DB

.Net
JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

All languages supporting JDBC/ODBC

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

C++
Java
JavaScript (Node.js)
Python

JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

in Python

PL/SQL, SQL PL

user defined functions in Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal and vertical partitioning

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Journaling Streams

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

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 journaling

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

Role-based access control

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