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DBMS > FoundationDB vs. Microsoft Azure Table Storage vs. mSQL vs. Postgres-XL vs. Sphinx

System Properties Comparison FoundationDB vs. Microsoft Azure Table Storage vs. mSQL vs. Postgres-XL vs. Sphinx

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure Table Storage  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.A Wide Column Store for rapid development using massive semi-structured datasetsmSQL (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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­storage/­tableshughestech.com.au/­products/­msqlwww.postgres-xl.orgsphinxsearch.com
Technical documentationapple.github.io/­foundationdbwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperFoundationDBMicrosoftHughes TechnologiesSphinx Technologies Inc.
Initial release2013201219942014 infosince 2012, originally named StormDB2001
Current release6.2.28, November 20204.4, October 202110 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree licenses can be providedOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CCC++
Server operating systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesno
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 SQLsupported in specific SQL layer onlynoA 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 methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 onlynonouser defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACID 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 controlnoAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standardno

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More resources
FoundationDBMicrosoft Azure Table StoragemSQL infoMini SQLPostgres-XLSphinx
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