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DBMS > Datomic vs. FoundationDB vs. Interbase vs. MonetDB vs. Postgres-XL

System Properties Comparison Datomic vs. FoundationDB vs. Interbase vs. MonetDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonInterbase  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Light-weight proven RDBMS infooriginally from BorlandA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.datomic.comgithub.com/­apple/­foundationdbwww.embarcadero.com/­products/­interbasewww.monetdb.orgwww.postgres-xl.org
Technical documentationdocs.datomic.comapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbasewww.monetdb.org/­Documentationwww.postgres-xl.org/­documentation
DeveloperCognitectFoundationDBEmbarcaderoMonetDB BV
Initial release20122013198420042014 infosince 2012, originally named StormDB
Current release1.0.6735, June 20236.2.28, November 2020InterBase 2020, December 2019Dec2023 (11.49), December 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++CCC
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno 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.nono infoexport as XML data possibleyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesyes infoSQL 2003 with some extensionsyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsin SQL-layer onlyyes infoInterbase procedure and trigger languageyes, in SQL, C, Ruser defined functions
TriggersBy using transaction functionsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesInterbase Change Viewsnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicFoundationDBInterbaseMonetDBPostgres-XL
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