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DBMS > GeoMesa vs. Milvus vs. OpenQM vs. STSdb

System Properties Comparison GeoMesa vs. Milvus vs. OpenQM vs. STSdb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS designed for efficient storage of vector data and vector similarity searchesQpenQM is a high-performance, self-tuning, multi-value DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSpatial DBMSVector DBMSMultivalue DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Score0.38
Rank#278  Overall
#10  Multivalue DBMS
Score0.13
Rank#344  Overall
#51  Key-value stores
Websitewww.geomesa.orgmilvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­STSSoft/­STSdb4
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.md
DeveloperCCRi and othersRocket Software, originally Martin PhillipsSTS Soft SC
Initial release2014201919932011
Current release4.0.5, February 20242.3.4, January 20243.4-124.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoGPLv2, commercial license available
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 languageScalaC++, GoC#
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Windows
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesyesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP API.NET Client API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C#
Java
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsAccess rights can be defined down to the item levelno
More information provided by the system vendor
GeoMesaMilvusOpenQM infoalso called QMSTSdb
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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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....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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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...
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More resources
GeoMesaMilvusOpenQM infoalso called QMSTSdb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Cloud boosts vector database performance
31 January 2024, InfoWorld

provided by Google News



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