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DBMS > Cloudflare Workers KV vs. GeoSpock vs. Hive vs. Prometheus

System Properties Comparison Cloudflare Workers KV vs. GeoSpock vs. Hive vs. Prometheus

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  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 scaledata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring system
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
Score0.39
Rank#274  Overall
#39  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgeospock.comhive.apache.orgprometheus.io
Technical documentationdevelopers.cloudflare.com/­kv/­apicwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docs
DeveloperCloudflareGeoSpockApache Software Foundation infoinitially developed by Facebook
Initial release201820122015
Current release2.0, September 20193.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaGo
Server operating systemshostedhostedAll OS with a Java VMLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnotemporal, categoricalyesno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like DML and DDL statementsno
APIs and other access methodsHTTP REST
Proprietary protocol
JDBCJDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesno

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