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DBMS > FoundationDB vs. Postgres-XL vs. Splice Machine vs. TerminusDB

System Properties Comparison FoundationDB vs. Postgres-XL vs. Splice Machine vs. TerminusDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitegithub.com/­apple/­foundationdbwww.postgres-xl.orgsplicemachine.comterminusdb.com
Technical documentationapple.github.io/­foundationdbwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperFoundationDBSplice MachineDataChemist Ltd.
Initial release20132014 infosince 2012, originally named StormDB20142018
Current release6.2.28, November 202010 R1, October 20183.1, March 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaProlog, Rust
Server operating systemsLinux
OS X
Windows
Linux
macOS
Linux
OS X
Solaris
Windows
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 functionalityno
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infodistributed, parallel query executionyesSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsyes infoJavayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
FoundationDBPostgres-XLSplice MachineTerminusDB infoformer name was DataChemist
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