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DBMS > CouchDB vs. Dragonfly vs. ScyllaDB

System Properties Comparison CouchDB vs. Dragonfly vs. ScyllaDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCassandra and DynamoDB compatible wide column store
Primary database modelDocument storeKey-value storeWide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.53
Rank#46  Overall
#7  Document stores
Score0.46
Rank#253  Overall
#37  Key-value stores
Score3.74
Rank#75  Overall
#5  Wide column stores
Websitecouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.scylladb.com
Technical documentationdocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docsdocs.scylladb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDragonflyDB team and community contributorsScyllaDB
Initial release200520232015
Current release3.3.3, December 20231.0, March 2023ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSL 1.1Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageErlangC++C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freescheme-freeschema-free
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyes
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.nonono
Secondary indexesyes infovia viewsnoyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptLuayes, Lua
Triggersyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes, strict serializability by the serveryes
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.noyesyes infoin-memory tables
User concepts infoAccess controlAccess rights for users can be defined per databasePassword-based authenticationAccess rights for users can be defined per object
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflyScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflyScyllaDB
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