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DBMS > Apache Drill vs. Apache Phoenix vs. CouchDB vs. PouchDB

System Properties Comparison Apache Drill vs. Apache Phoenix vs. CouchDB vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitedrill.apache.orgphoenix.apache.orgcouchdb.apache.orgpouchdb.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdocs.couchdb.org/­en/­stablepouchdb.com/­guides
DeveloperApache Software FoundationApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software Foundation
Initial release2012201420052012
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaScript
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesnoyesyes infovia viewsyes infovia views
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCRESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
JavaScript
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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
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 methodsyesHadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic locking
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 sourceyesnoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseno

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More resources
Apache DrillApache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"PouchDB
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