DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cloudflare Workers KV vs. DataFS vs. GeoMesa vs. Milvus vs. STSdb

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDataFS  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.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 searchesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeObject oriented DBMSSpatial DBMSVector DBMSKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvnewdatabase.comwww.geomesa.orgmilvus.iogithub.com/­STSSoft/­STSdb4
Technical documentationdevelopers.cloudflare.com/­kv/­apidev.mobiland.com/­Overview.xspwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.md
DeveloperCloudflareMobiland AGCCRi and othersSTS Soft SC
Initial release20182018201420192011
Current release1.1.263, October 20224.0.5, February 20242.3.4, January 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 systemshostedWindowsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or datenoyesyesVector, 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.nononono
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonononono
APIs and other access methodsHTTP REST
Proprietary protocol
.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP API.NET Client API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
VB.Net
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresnononono
Triggersnono, except callback-events from server when changes happenednonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencydepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonodepending on storage layeryes
User concepts infoAccess controlWindows-Profileyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsno
More information provided by the system vendor
Cloudflare Workers KVDataFSGeoMesaMilvusSTSdb
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Cloudflare Workers KVDataFSGeoMesaMilvusSTSdb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Cloudflare updates Workers platform with Python support, event notifications, and improved local development ...
3 April 2024, DevClass

Cloudflare dashboard, API service feeling poorly due to datacenter power snafu
2 November 2023, The Register

Cloudflare recovers from service outage after power failure at core North American data center
3 November 2023, DatacenterDynamics

Cloudflare is (still) struggling with another outage - here's what to know
3 November 2023, ZDNet

How to Build a Scalable URL Shortener With Cloudflare Workers and KV Under 10 Minutes
21 August 2022, hackernoon.com

provided by Google News

What Is Milvus Vector Database?
6 October 2023, 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



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here