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DBMS > Amazon DocumentDB vs. CouchDB vs. DolphinDB vs. Dragonfly

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. DolphinDB vs. Dragonfly

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDolphinDB  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance
Primary database modelDocument storeDocument storeTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score9.30
Rank#45  Overall
#7  Document stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.dolphindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stabledocs.dolphindb.cn/­en/­help200/­index.htmlwww.dragonflydb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDolphinDB, IncDragonflyDB team and community contributors
Initial release2019200520182023
Current release3.3.3, December 2023v2.00.4, January 20221.0, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree community version availableOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesscheme-free
Typing infopredefined data types such as float or dateyesnoyesstrings, hashes, lists, sets, sorted sets, bit arrays
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 infovia viewsyesno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresnoView functions in JavaScriptyesLua
Triggersnoyesnopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0horizontal partitioning
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
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual 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 operationsno infoatomic operations within a single document possibleyesAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, strict serializability by the server
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAdministrators, Users, GroupsPassword-based authentication

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DolphinDBDragonfly
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