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DBMS > Cloudflare Workers KV vs. FeatureBase vs. GeoSpock vs. Heroic

System Properties Comparison Cloudflare Workers KV vs. FeatureBase vs. GeoSpock vs. Heroic

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonHeroic  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Spatial and temporal data processing engine for extreme data scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.featurebase.comgeospock.comgithub.com/­spotify/­heroic
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.featurebase.comspotify.github.io/­heroic
DeveloperCloudflareMolecula and Pilosa Open Source ContributorsGeoSpockSpotify
Initial release201820172014
Current release2022, May 20222.0, September 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, JavascriptJava
Server operating systemshostedLinux
macOS
hosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonotemporal, categoricalyes infovia Elasticsearch
SQL infoSupport of SQLnoSQL queriesANSI SQL for query only (using Presto)no
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users can be defined per table

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More resources
Cloudflare Workers KVFeatureBaseGeoSpockHeroic
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