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DBMS > GeoMesa vs. Milvus vs. Riak KV vs. STSdb

System Properties Comparison GeoMesa vs. Milvus vs. Riak KV vs. STSdb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonRiak KV  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 searchesDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSpatial DBMSVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitewww.geomesa.orgmilvus.iogithub.com/­STSSoft/­STSdb4
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCCRi and othersOpenSource, formerly Basho TechnologiesSTS Soft SC
Initial release2014201920092011
Current release4.0.5, February 20242.3.4, January 20243.2.0, December 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen 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++, GoErlangC#
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnoyes 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.nonono
Secondary indexesyesnorestrictedno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
.NET Client API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnonoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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 rightsyes, using Riak Securityno
More information provided by the system vendor
GeoMesaMilvusRiak KVSTSdb
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...
» 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
GeoMesaMilvusRiak KVSTSdb
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