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DBMS > Firebase Realtime Database vs. Hive vs. Realm vs. Vitess

System Properties Comparison Firebase Realtime Database vs. Hive vs. Realm vs. Vitess

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonRealm  Xexclude from comparisonVitess  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasehive.apache.orgrealm.iovitess.io
Technical documentationfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homerealm.io/­docsvitess.io/­docs
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookRealm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release2012201220142013
Current release3.1.3, April 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemshostedAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceno inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
TriggersCallbacks are triggered when data changesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and rolesyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Firebase Realtime DatabaseHiveRealmVitess
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