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DBMS > FoundationDB vs. MonetDB vs. Oracle

System Properties Comparison FoundationDB vs. MonetDB vs. Oracle

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.A relational database management system that stores data in columnsWidely used RDBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#170  Overall
#26  Document stores
#30  Key-value stores
#82  Relational DBMS
Score1.60
Rank#123  Overall
#60  Relational DBMS
Score1345.42
Rank#1  Overall
#1  Relational DBMS
Websitewww.foundationdb.orgwww.monetdb.orgwww.oracle.com/­database
Technical documentationapple.github.io/­foundationdbwww.monetdb.org/­Documentationdocs.oracle.com/­en/­database
DeveloperFoundationDBMonetDB BVOracle
Initial release201320041980
Current release6.2.11, November 2019Nov2019-SP1, December 201919c, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-free infosome layers support schemasyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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.yes
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infoSQL 2003 with some extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresin SQL-layer onlyyes, in SQL, C, RPL/SQL infoalso stored procedures in Java possible
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoMaster-slave replication available in experimental statusMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBMonetDBOracle
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» 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
Oracle Database Cloud Services Customers can choose from a wide range of database...
» more
News

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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.

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