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DBMS > GeoMesa vs. Microsoft Azure AI Search vs. Milvus vs. MonetDB

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. Milvus vs. MonetDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMilvus  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columns
Primary database modelSpatial DBMSSearch engineVector DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchmilvus.iowww.monetdb.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentation
DeveloperCCRi and othersMicrosoftMonetDB BV
Initial release2014201520192004
Current release5.0.0, May 2024V12.3.4, January 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageScalaC++, GoC
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononoyes infoSQL 2003 with some extensions
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud serviceShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing Azure authenticationRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaMicrosoft Azure AI SearchMilvusMonetDB
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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More resources
GeoMesaMicrosoft Azure AI SearchMilvusMonetDB
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