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DBMS > FoundationDB vs. Oracle Berkeley DB vs. PostGIS vs. Prometheus

System Properties Comparison FoundationDB vs. Oracle Berkeley DB vs. PostGIS vs. Prometheus

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostGIS  Xexclude from comparisonPrometheus  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 storeSpatial extension of PostgreSQLOpen-source Time Series DBMS and monitoring system
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
Spatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­apple/­foundationdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpostgis.netprometheus.io
Technical documentationapple.github.io/­foundationdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpostgis.net/­documentationprometheus.io/­docs
DeveloperFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013199420052015
Current release6.2.28, November 202018.1.40, May 20203.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoGPL v2.0Open Source infoApache 2.0
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++C, Java, C++ (depending on the Berkeley DB edition)CGo
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingnoyesNumeric data only
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 editionyesno infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infoSQL interfaced based on SQLite is availableyesno
APIs and other access methodsRESTful HTTP/JSON API
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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsno
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQLyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistencynone
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnono
User concepts infoAccess controlnonoyes infobased on PostgreSQLno

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FoundationDBOracle Berkeley DBPostGISPrometheus
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