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DBMS > Cloudflare Workers KV vs. GeoMesa vs. Milvus

System Properties Comparison Cloudflare Workers KV vs. GeoMesa vs. Milvus

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GeoMesa 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 searches
Primary database modelKey-value storeSpatial DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#275  Overall
#41  Key-value stores
Score0.94
Rank#225  Overall
#4  Spatial DBMS
Score0.78
Rank#240  Overall
#17  Search engines
Websitewww.cloudflare.com/­products/­workers-kvwww.geomesa.orgmilvus.io
Technical documentationdevelopers.cloudflare.com/­workers/­runtime-apis/­kvwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.md
DeveloperCloudflareCCRi and others
Initial release201820142019
Current release3.5.0, December 20222.2, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
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++, Go
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyesVector, Numeric and String
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 indexesnoyesno
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageno
More information provided by the system vendor
Cloudflare Workers KVGeoMesaMilvus
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 scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metricsAs of Oct 2022, 14k+ GitHub stars 2M+ downloads and installations 1000+ 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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More resources
Cloudflare Workers KVGeoMesaMilvus
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Cloudflare Workers KV, a distributed native key-value store for Cloudflare Workers
1 October 2018, Packt Hub

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28 September 2022, The New Stack

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7 November 2022, Protocol

Cloudflare: Cloudy With A Chance Of Hypergrowth (undefined:NET)
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24 August 2022, TechCrunch

Vector database startup Zilliz raises $60M in Series B funding ...
24 August 2022, SiliconANGLE News

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open ...
3 August 2022, businesswire.com

Zilliz Unfurls Managed Vector Database Service
29 November 2022, DevOps.com

provided by Google News

Job opportunities

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