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DBMS > FoundationDB vs. Netezza vs. Oracle Rdb vs. PostGIS

System Properties Comparison FoundationDB vs. Netezza vs. Oracle Rdb vs. PostGIS

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostGIS  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Data warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitegithub.com/­apple/­foundationdbwww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­rdb.htmlpostgis.net
Technical documentationapple.github.io/­foundationdbwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlpostgis.net/­documentation
DeveloperFoundationDBIBMOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2013200019842005
Current release6.2.28, November 20207.4.1.1, 20213.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceHP Open VMS
Data schemeschema-free infosome layers support schemasyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesyesyes
APIs and other access methodsJDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresin SQL-layer onlyyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyes infobased on PostgreSQL

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More resources
FoundationDBNetezza infoAlso called PureData System for Analytics by IBMOracle RdbPostGIS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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