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DBMS > FoundationDB vs. HyperSQL vs. Microsoft Azure Table Storage vs. Tigris

System Properties Comparison FoundationDB vs. HyperSQL vs. Microsoft Azure Table Storage vs. Tigris

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Table Storage  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Wide Column Store for rapid development using massive semi-structured datasetsA 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
Relational DBMSWide column storeDocument store
Key-value store
Search engine
Time Series 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
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitegithub.com/­apple/­foundationdbhsqldb.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigrisdata.com
Technical documentationapple.github.io/­foundationdbhsqldb.org/­web/­hsqlDocsFrame.htmlwww.tigrisdata.com/­docs
DeveloperFoundationDBMicrosoftTigris Data, Inc.
Initial release2013200120122022
Current release6.2.28, November 20202.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
macOS
Windows
Data schemeschema-free infosome layers support schemasyesschema-freeyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesnono
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresin SQL-layer onlyJava, SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles

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More resources
FoundationDBHyperSQL infoalso known as HSQLDBMicrosoft Azure Table StorageTigris
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