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DBMS > FoundationDB vs. HarperDB vs. MonetDB vs. Oracle Rdb

System Properties Comparison FoundationDB vs. HarperDB vs. MonetDB vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHarperDB  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Rdb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A relational database management system that stores data in columns
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.harperdb.iowww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationapple.github.io/­foundationdbdocs.harperdb.io/­docswww.monetdb.org/­Documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperFoundationDBHarperDBMonetDB BVOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2013201720041984
Current release6.2.28, November 20203.1, August 2021Dec2023 (11.49), December 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Node.jsC
Server operating systemsLinux
OS X
Windows
Linux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
HP Open VMS
Data schemeschema-free infosome layers support schemasdynamic schemayesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateno infosome layers support typingyes infoJSON data typesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like data manipulation statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyCustom Functions infosince release 3.1yes, in SQL, C, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definednone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
FoundationDBHarperDBMonetDBOracle Rdb
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