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

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFeatureBase  Xexclude from comparisonGBase  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scale
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.featurebase.comwww.gbase.cngeospock.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.featurebase.com
DeveloperCloudflareMolecula and Pilosa Open Source ContributorsGeneral Data Technology Co., Ltd.GeoSpock
Initial release201820172004
Current release2022, May 2022GBase 8a, GBase 8s, GBase 8c2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJava, Javascript
Server operating systemshostedLinux
macOS
Linuxhosted
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesnonoyestemporal, categorical
SQL infoSupport of SQLnoSQL queriesStandard with numerous extensionsANSI SQL for query only (using Presto)
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C API
JDBC
ODBC
JDBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
C#
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.noyesno
User concepts infoAccess controlyesAccess rights for users can be defined per table

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More resources
Cloudflare Workers KVFeatureBaseGBaseGeoSpock
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