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DBMS > CouchDB vs. Dragonfly vs. Snowflake

System Properties Comparison CouchDB vs. Dragonfly vs. Snowflake

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonSnowflake  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 instanceCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitecouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.snowflake.com
Technical documentationdocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDragonflyDB team and community contributorsSnowflake Computing Inc.
Initial release200520232014
Current release3.3.3, December 20231.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freescheme-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesyes infovia viewsno
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions in JavaScriptLuauser defined functions
Triggersyespublish/subscribe channels provide some trigger functionalityno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 scriptsACID
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databasePassword-based authenticationUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflySnowflake
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Recent citations in the news

How to install the CouchDB NoSQL database on Debian Server 11
16 June 2022, TechRepublic

IBM Cloudant pulls plan to fund new foundational layer for CouchDB
15 March 2022, The Register

CouchDB 3.0 ends admin party era • DEVCLASS
27 February 2020, DevClass

Tracking Expenses with CouchDB and Angular — SitePoint
28 August 2014, SitePoint

How to Connect Your Flask App With CouchDB: A NoSQL Database - MUO
14 August 2021, MakeUseOf

provided by Google News

DragonflyDB Announces $21m in New Funding and General Availability
21 March 2023, businesswire.com

DragonflyDB reels in $21M for its speedy in-memory database
21 March 2023, SiliconANGLE News

Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store
20 March 2023, Phoronix

Intel Linux Kernel Optimizations Show Huge Benefit For High Core Count Servers
29 March 2023, Phoronix

SFU Computing Science researchers receive 2022 ACM SIGMOD Research Highlight Award.
24 February 2023, Simon Fraser University News

provided by Google News

The Snowflake Attack May Be Turning Into One of the Largest Data Breaches Ever
6 June 2024, WIRED

Hackers steal “significant volume” of data from hundreds of Snowflake customers
10 June 2024, Ars Technica

Mandiant says hackers stole a 'significant volume of data' from Snowflake customers
10 June 2024, TechCrunch

Pure Storage confirms data breach after Snowflake account hack
11 June 2024, BleepingComputer

Ticketmaster's Snowflake data breach was just one of 165
11 June 2024, The Verge

provided by Google News



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