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DBMS > AllegroGraph vs. FileMaker vs. Milvus vs. MonetDB

System Properties Comparison AllegroGraph vs. FileMaker vs. Milvus vs. MonetDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFileMaker  Xexclude from comparisonMilvus  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFileMaker is a cross-platform RDBMS that includes a GUI frontend.A DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columns
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteallegrograph.comwww.claris.com/­filemakermilvus.iowww.monetdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.claris.com/­resources/­documentationmilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentation
DeveloperFranz Inc.Claris infoa subsidiary of AppleMonetDB BV
Initial release2004198320192004
Current release8.0, December 202319.4.1, November 20212.4.4, May 2024Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoC
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesVector, 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.no infobulk load of XML files possibleyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyes infovia pluginsnoyes infoSQL 2003 with some extensions
APIs and other access methodsRESTful HTTP API
SPARQL
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
PHPC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnoyes, in SQL, C, R
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationsimple rights management via user accounts and connection to external directory servicesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphFileMakerMilvusMonetDB
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...
» more
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...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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