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DBMS > Cloudflare Workers KV vs. GeoMesa vs. Pinecone

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonPinecone  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 managed, cloud-native vector database
Primary database modelKey-value storeSpatial DBMSVector 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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.geomesa.orgwww.pinecone.io
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperCloudflareCCRi and othersPinecone Systems, Inc
Initial release201820142019
Current release4.0.5, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyesString, Number, Boolean
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 indexesnoyes
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
Python
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 methodsnoyesno
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 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 storage

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More resources
Cloudflare Workers KVGeoMesaPinecone
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Vector databases
2 June 2023, Matthias Gelbmann

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