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DBMS > Firebase Realtime Database vs. HBase vs. PouchDB vs. Quasardb

System Properties Comparison Firebase Realtime Database vs. HBase vs. PouchDB vs. Quasardb

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelDocument storeWide column storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasehbase.apache.orgpouchdb.comquasar.ai
Technical documentationfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlpouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundationquasardb
Initial release2012200820122009
Current release2.3.4, January 20217.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infointeger and binary
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 indexesyesnoyes infovia viewsyes infowith tags
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoCoprocessors in JavaView functions in JavaScriptno
TriggersCallbacks are triggered when data changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
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
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCryptographically strong user authentication and audit trail

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More resources
Firebase Realtime DatabaseHBasePouchDBQuasardb
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