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DBMS > CouchDB vs. EXASOL vs. Google BigQuery vs. Graphite vs. TerarkDB

System Properties Comparison CouchDB vs. EXASOL vs. Google BigQuery vs. Graphite vs. TerarkDB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraphite  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA 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 storeRelational DBMSRelational DBMSTime Series DBMSKey-value store
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
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitecouchdb.apache.orgwww.exasol.comcloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-webgithub.com/­bytedance/­terarkdb
Technical documentationdocs.couchdb.org/­en/­stablewww.exasol.com/­resourcescloud.google.com/­bigquery/­docsgraphite.readthedocs.iobytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerExasolGoogleChris DavisByteDance, originally Terark
Initial release20052000201020062016
Current release3.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangPythonC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumeric data onlyno
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.nonononono
Secondary indexesyes infovia viewsyesnonono
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsRESTful HTTP/JSON API.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIHTTP API
Sockets
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
Java
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsuser defined functions infoin JavaScriptnono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDno infoSince BigQuery is designed for querying datanono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nono

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EXASOLGoogle BigQueryGraphiteTerarkDB
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