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DBMS > Cloudflare Workers KV vs. GeoSpock

System Properties Comparison Cloudflare Workers KV vs. GeoSpock

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Our visitors often compare Cloudflare Workers KV and GeoSpock with DuckDB, Amazon DynamoDB and Redis.

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Spatial and temporal data processing engine for extreme data scale
Primary database modelKey-value storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#274  Overall
#40  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgeospock.com
Technical documentationdevelopers.cloudflare.com/­kv/­api
DeveloperCloudflareGeoSpock
Initial release2018
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedhosted
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 indexesnotemporal, categorical
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
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 nodesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
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.nono
User concepts infoAccess controlAccess rights for users can be defined per table

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More resources
Cloudflare Workers KVGeoSpock
Recent citations in the news

We made Workers KV up to 3x faster — here’s the data
26 September 2024, The Cloudflare Blog

Skip the setup: deploy a Workers application in seconds
8 April 2025, The Cloudflare Blog

Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
26 September 2024, The Cloudflare Blog

Moving Baselime from AWS to Cloudflare: simpler architecture, improved performance, over 80% lower cloud costs
31 October 2024, The Cloudflare Blog

Startup spotlight: building AI agents and accelerating innovation with Cohort #5
11 April 2025, The Cloudflare Blog

provided by Google News

GeoSpock and X-Locations Collaborate to Deliver Next Generation Location Data Analysis in Japan
25 March 2019, Business Wire

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, vanillaplus.com

GeoSpock Confirms Commitment to Japanese Market with New Office Opening in Tokyo, Japan
3 October 2019, Geospatial World

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

provided by Google News



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