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DBMS > CouchDB vs. Google Cloud Bigtable vs. LevelDB vs. TerarkDB

System Properties Comparison CouchDB vs. Google Cloud Bigtable vs. LevelDB vs. TerarkDB

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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 comparisonLevelDB  Xexclude from comparisonTerarkDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeKey-value store
Wide column store
Key-value storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecouchdb.apache.orgcloud.google.com/­bigtablegithub.com/­google/­leveldbgithub.com/­bytedance/­terarkdb
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleGoogleByteDance, originally Terark
Initial release2005201520112016
Current release3.3.3, December 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedIllumos
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenononono
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 indexesyes infovia viewsnonono
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Java API
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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Server-side scripts infoStored proceduresView functions in JavaScriptnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingnonenone
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 zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)nono

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud BigtableLevelDBTerarkDB
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