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DBMS > CouchDB vs. Google Cloud Bigtable vs. Graphite

System Properties Comparison CouchDB vs. Google Cloud Bigtable vs. Graphite

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelDocument storeWide column storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.12
Rank#39  Overall
#6  Document stores
Score3.58
Rank#88  Overall
#7  Wide column stores
Score4.64
Rank#78  Overall
#4  Time Series DBMS
Websitecouchdb.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-web
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docsgraphite.readthedocs.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleChris Davis
Initial release200520152006
Current release3.1.1, September 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangPython
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoNumeric data only
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 viewsnono
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infolocking
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 can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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