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DBMS > Datomic vs. FoundationDB vs. Postgres-XL

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Based 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 DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#119  Overall
#58  Relational DBMS
Score1.27
Rank#151  Overall
#26  Document stores
#28  Key-value stores
#74  Relational DBMS
Score0.55
Rank#232  Overall
#111  Relational DBMS
Websitewww.datomic.comwww.foundationdb.orgwww.postgres-xl.org
Technical documentationdocs.datomic.comapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperCognitectFoundationDB
Initial release201220132014 infosince 2012, originally named StormDB
Current release0.9.5951, July 20196.2.28, November 202010 R1, October 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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 infoXML type, but no XML query functionality
Secondary indexesyesnoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.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
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsin SQL-layer onlyuser defined functions
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
DatomicFoundationDBPostgres-XL
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