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DBMS > FoundationDB vs. Postgres-XL vs. Realm vs. Teradata

System Properties Comparison FoundationDB vs. Postgres-XL vs. Realm vs. Teradata

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonTeradata  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
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
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.postgres-xl.orgrealm.iowww.teradata.com
Technical documentationapple.github.io/­foundationdbwww.postgres-xl.org/­documentationrealm.io/­docsdocs.teradata.com
DeveloperFoundationDBRealm, acquired by MongoDB in May 2019Teradata
Initial release20132014 infosince 2012, originally named StormDB20141984
Current release6.2.28, November 202010 R1, October 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Sourcecommercial
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
Server operating systemsLinux
OS X
Windows
Linux
macOS
Android
Backend: server-less
iOS
Windows
hosted
Linux
Data schemeschema-free infosome layers support schemasyesyesyes
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.yes infoXML type, but no XML query functionalitynoyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infodistributed, parallel query executionnoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACID
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.noyes infoIn-Memory realmyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
FoundationDBPostgres-XLRealmTeradata
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