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DBMS > FoundationDB vs. Microsoft Azure AI Search vs. Tigris

System Properties Comparison FoundationDB vs. Microsoft Azure AI Search vs. Tigris

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTigris  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Search-as-a-service for web and mobile app developmentA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engineDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsVector DBMS
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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­searchwww.tigrisdata.com
Technical documentationapple.github.io/­foundationdblearn.microsoft.com/­en-us/­azure/­searchwww.tigrisdata.com/­docs
DeveloperFoundationDBMicrosoftTigris Data, Inc.
Initial release201320152022
Current release6.2.28, November 2020V1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynono
APIs and other access methodsRESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresin SQL-layer onlynono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights for users and roles

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More resources
FoundationDBMicrosoft Azure AI SearchTigris
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