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DBMS > FoundationDB vs. IBM Db2 vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison FoundationDB vs. IBM Db2 vs. Microsoft Azure AI Search vs. Sphinx

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure AI Search  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Common in IBM host environments, 2 different versions for host and Windows/LinuxSearch-as-a-service for web and mobile app developmentOpen 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
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBSearch engineSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Websitegithub.com/­apple/­foundationdbwww.ibm.com/­products/­db2azure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationapple.github.io/­foundationdbwww.ibm.com/­docs/­en/­db2learn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperFoundationDBIBMMicrosoftSphinx Technologies Inc.
Initial release20131983 infohost version20152001
Current release6.2.28, November 202012.1, October 2016V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno 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.no
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLsupported in specific SQL layer onlyyesnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP APIProprietary protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin SQL-layer onlyyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
FoundationDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure AI SearchSphinx
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The DB-Engines ranking includes now search engines
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