DBMS > Amazon Redshift vs. FoundationDB vs. MonetDB

System Properties Comparison Amazon Redshift vs. FoundationDB vs. MonetDB

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Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

Large scale data warehouse service for use with business intelligence tools

Ordered key-value store. Core features are complimented by layers.

A relational database management system that stores data in columns

Primary database model

Relational DBMS

Document store info

supported via specific layer
Key-value store
Relational DBMS info

supported via specific SQL-layer

Relational DBMS

Secondary database models

Document store

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

Score	20.96
Rank	#31	Overall
	#18	Relational DBMS

Score	0.86
Rank	#162	Overall
	#24	Document stores
	#28	Key-value stores
	#79	Relational DBMS

Score	1.87
Rank	#115	Overall
	#55	Relational DBMS

Website

aws.amazon.com/redshift

www.foundationdb.org

www.monetdb.org

Technical documentation

docs.aws.amazon.com/redshift

apple.github.io/foundationdb

www.monetdb.org/Documentation

Developer

Amazon (based on PostgreSQL)

FoundationDB

MonetDB BV

Initial release

2012

2013

2004

Current release

6.2.11, November 2019

Nov2019-SP1, December 2019

License

Commercial or Open Source

commercial

Open Source info

Apache 2.0

Open Source info

Mozilla Public License 2.0

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

hosted

Linux
OS X
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free info

some layers support schemas

yes

Typing

predefined data types such as float or date

yes

some layers support typing

yes

XML support info

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

supported in specific SQL layer only

yes

SQL 2003 with some extensions

APIs and other access methods

JDBC
ODBC

JDBC
native C library info

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

.Net
C
C++
Go
Java
JavaScript info

Node.js
PHP
Python
Ruby
Swift

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

Server-side scripts info

Stored procedures

user defined functions info

in Python

in SQL-layer only

yes, in SQL, C, R

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Sharding via remote tables

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

none

Master-slave replication available in experimental status

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Linearizable consistency

Foreign keys info

Referential integrity

yes

informational only, not enforced by the system

in SQL-layer only

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Column-store In-memory optimized GeoSpatial support JSON document support
» more

Competitive advantages

Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more

Typical application scenarios

Analytical database, Data warehouse, OLAP Data mining Scientific database
» more

Key customers

Numascale , Spinque , SecurActive , CHS , NOZHUP
» more

Licensing and pricing models

Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.