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DBMS > Amazon DocumentDB vs. KeyDB vs. Oracle NoSQL vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. KeyDB vs. Oracle NoSQL vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKeyDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeKey-value storeDocument store
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.63
Rank#232  Overall
#32  Key-value stores
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbgithub.com/­Snapchat/­KeyDB
keydb.dev
www.oracle.com/­database/­nosql/­technologies/­nosqlpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.keydb.devdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpouchdb.com/­guides
DeveloperEQ Alpha Technology Ltd.OracleApache Software Foundation
Initial release2019201920112012
Current release24.1, May 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScript
Server operating systemshostedLinuxLinux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesoptionalno
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 indexesyesyes infoby using the Redis Search moduleyesyes infovia views
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoLuanoView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsOptimistic locking, atomic execution of commands blocks and scriptsconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users and rolessimple password-based access control and ACLAccess rights for users and rolesno

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More resources
Amazon DocumentDBKeyDBOracle NoSQLPouchDB
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