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DBMS > DataFS vs. FoundationDB vs. mSQL vs. Postgres-XL vs. Sphinx

System Properties Comparison DataFS vs. FoundationDB vs. mSQL vs. Postgres-XL vs. Sphinx

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFoundationDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Ordered key-value store. Core features are complimented by layers.mSQL (Mini SQL) is a simple and lightweight RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitenewdatabase.comgithub.com/­apple/­foundationdbhughestech.com.au/­products/­msqlwww.postgres-xl.orgsphinxsearch.com
Technical documentationdev.mobiland.com/­Overview.xspapple.github.io/­foundationdbwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperMobiland AGFoundationDBHughes TechnologiesSphinx Technologies Inc.
Initial release2018201319942014 infosince 2012, originally named StormDB2001
Current release1.1.263, October 20226.2.28, November 20204.4, October 202110 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CCC++
Server operating systemsWindowsLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesno
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnosupported in specific SQL layer onlyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsno
Triggersno, except callback-events from server when changes happenednonoyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlWindows-Profilenonofine grained access rights according to SQL-standardno

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More resources
DataFSFoundationDBmSQL infoMini SQLPostgres-XLSphinx
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