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DBMS > BigchainDB vs. CouchDB vs. FileMaker vs. Hive vs. TerarkDB

System Properties Comparison BigchainDB vs. CouchDB vs. FileMaker vs. Hive vs. TerarkDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.FileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopA 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 storeDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score9.30
Rank#45  Overall
#7  Document stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.bigchaindb.comcouchdb.apache.orgwww.claris.com/­filemakerhive.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stablewww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookByteDance, originally Terark
Initial release20162005198320122016
Current release3.3.3, December 202319.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2commercialOpen Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlangJavaC++
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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 infoA http query request can return the data in XML formatno
Secondary indexesyes infovia viewsyesyesno
SQL infoSupport of SQLnonoyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
C++ API
Java API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
PHPC++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresView functions in JavaScriptyesyes infouser defined functions and integration of map-reduceno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenonono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesAccess rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesno

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More resources
BigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FileMakerHiveTerarkDB
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