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DBMS > Apache Phoenix vs. HBase vs. PouchDB vs. Realm vs. Sequoiadb

System Properties Comparison Apache Phoenix vs. HBase vs. PouchDB vs. Realm vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSWide column storeDocument storeDocument storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitephoenix.apache.orghbase.apache.orgpouchdb.comrealm.iowww.sequoiadb.com
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlpouchdb.com/­guidesrealm.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationRealm, acquired by MongoDB in May 2019Sequoiadb Ltd.
Initial release20142008201220142013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open SourceOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC++
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyesyes infooid, date, timestamp, binary, regex
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 indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLyesnononoSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in JavaView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryJavaScript
Triggersnoyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenoneSharding
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
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoIn-Memory realmno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyessimple password-based access control

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Apache PhoenixHBasePouchDBRealmSequoiadb
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