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DBMS > FoundationDB vs. Oracle Berkeley DB

System Properties Comparison FoundationDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonOracle Berkeley DB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Widely used in-process key-value store
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­apple/­foundationdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationapple.github.io/­foundationdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20131994
Current release6.2.28, November 202018.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingno
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 infoonly with the Berkeley DB XML edition
Secondary indexesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infoSQL interfaced based on SQLite is available
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyno
Triggersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistency
Foreign keys infoReferential integrityin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnono

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More resources
FoundationDBOracle Berkeley DB
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