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DBMS > FoundationDB vs. HyperSQL vs. Linter vs. Milvus vs. mSQL

System Properties Comparison FoundationDB vs. HyperSQL vs. Linter vs. Milvus vs. mSQL

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLinter  Xexclude from comparisonMilvus  Xexclude from comparisonmSQL infoMini SQL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 HSQLDBRDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial 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
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitegithub.com/­apple/­foundationdbhsqldb.orglinter.rumilvus.iohughestech.com.au/­products/­msql
Technical documentationapple.github.io/­foundationdbhsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.md
DeveloperFoundationDBrelex.ruHughes Technologies
Initial release20132001199020191994
Current release6.2.28, November 20202.7.2, June 20232.3.4, January 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++JavaC and C++C++, GoC
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesVector, Numeric and Stringyes
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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyJava, SQLyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityin SQL-layer onlyyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
FoundationDBHyperSQL infoalso known as HSQLDBLinterMilvusmSQL infoMini SQL
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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More resources
FoundationDBHyperSQL infoalso known as HSQLDBLinterMilvusmSQL infoMini SQL
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