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DBMS > Amazon DocumentDB vs. Cloudflare Workers KV vs. GBase vs. GeoSpock

System Properties Comparison Amazon DocumentDB vs. Cloudflare Workers KV vs. GBase vs. GeoSpock

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGBase  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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 modelDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.29
Rank#283  Overall
#40  Key-value stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.cloudflare.com/­developer-platform/­workers-kvwww.gbase.cngeospock.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdevelopers.cloudflare.com/­kv/­api
DeveloperCloudflareGeneral Data Technology Co., Ltd.GeoSpock
Initial release201920182004
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonJava, Javascript
Server operating systemshostedhostedLinuxhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyestemporal, categorical
SQL infoSupport of SQLnonoStandard with numerous extensionsANSI SQL for query only (using Presto)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP REST
Proprietary protocol
ADO.NET
C API
JDBC
ODBC
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
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.nono
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights for users can be defined per table

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More resources
Amazon DocumentDBCloudflare Workers KVGBaseGeoSpock
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