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DBMS > Amazon Redshift vs. FoundationDB vs. Hyprcubd vs. MonetDB

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Hyprcubd vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMonetDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOrdered key-value store. Core features are complimented by layers.Serverless Time Series DBMSA relational database management system that stores data in columns
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.41
Rank#29  Overall
#17  Relational DBMS
Score0.91
Rank#167  Overall
#26  Document stores
#31  Key-value stores
#80  Relational DBMS
Score0.00
Rank#337  Overall
#30  Time Series DBMS
Score1.89
Rank#124  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgwww.hyprcubd.comwww.monetdb.org
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbwww.monetdb.org/­Documentation
DeveloperAmazon (based on PostgreSQL)FoundationDBHyprcubd, Inc.MonetDB BV
Initial release201220132004
Current release6.2.11, November 2019Jun2020, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infotime, int, uint, float, stringyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesrestrictednonoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlySQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
gRPC (https)JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlynoyes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnotoken accessfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftFoundationDBHyprcubdMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

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15 June 2020

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3 January 2020

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9 May 2019

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

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

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More resources
Amazon RedshiftFoundationDBHyprcubdMonetDB
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