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DBMS > Cloudflare Workers KV vs. GeoMesa vs. KeyDB vs. Milvus

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonKeyDB  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeSpatial DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.geomesa.orggithub.com/­Snapchat/­KeyDB
keydb.dev
milvus.io
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.keydb.devmilvus.io/­docs/­overview.md
DeveloperCloudflareCCRi and othersEQ Alpha Technology Ltd.
Initial release2018201420192019
Current release4.0.5, February 20242.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoBSD-3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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++C++, Go
Server operating systemshostedLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesVector, 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.nononono
Secondary indexesnoyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP REST
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoLuano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerEventual Consistency
Strong eventual consistency with CRDTs
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagesimple password-based access control and ACLRole based access control and fine grained access rights
More information provided by the system vendor
Cloudflare Workers KVGeoMesaKeyDBMilvus
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
Cloudflare Workers KVGeoMesaKeyDBMilvus
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