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DBMS > Apache Drill vs. CouchDB vs. Firebase Realtime Database vs. PouchDB

System Properties Comparison Apache Drill vs. CouchDB vs. Firebase Realtime Database vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Document storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.46
Rank#97  Overall
#17  Document stores
#48  Relational DBMS
Score17.41
Rank#35  Overall
#5  Document stores
Score16.26
Rank#36  Overall
#6  Document stores
Score3.47
Rank#96  Overall
#16  Document stores
Websitedrill.apache.orgcouchdb.apache.orgfirebase.google.com/­products/­realtime-databasepouchdb.com
Technical documentationdrill.apache.org/­docsdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasepouchdb.com/­guides
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2012200520122012
Current release1.17.0, December 20193.0, February 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaScript
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesnoyes infovia viewsyesyes infovia views
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptlimited functionality with using 'rules'View functions in JavaScript
TriggersnoyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per databaseyes, based on authentication and database rulesno

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Apache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabasePouchDB
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