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DBMS > Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Industrial-strength, open-source database solution built from the ground up for event sourcing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelKey-value storeEvent StoreSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.geomesa.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCloudflareEvent Store LimitedCCRi and others
Initial release201820122014
Current release21.2, February 20214.0.5, February 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedLinux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnono
APIs and other access methodsHTTP REST
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storage

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More resources
Cloudflare Workers KVEventStoreDBGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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