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DBMS > Amazon DocumentDB vs. Cloudflare Workers KV vs. EDB Postgres

System Properties Comparison Amazon DocumentDB vs. Cloudflare Workers KV vs. EDB Postgres

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEDB Postgres  Xexclude from comparison
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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.
Primary database modelDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.cloudflare.com/­developer-platform/­workers-kvwww.enterprisedb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdevelopers.cloudflare.com/­kv/­apiwww.enterprisedb.com/­docs
DeveloperCloudflareEnterpriseDB
Initial release201920182005
Current release14, December 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBSD for PostgreSQL-components
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedLinux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP REST
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or range
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
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 Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.nono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBCloudflare Workers KVEDB Postgres
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