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DBMS > Firebase Realtime Database vs. LevelDB vs. MongoDB

System Properties Comparison Firebase Realtime Database vs. LevelDB vs. MongoDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonLevelDB  Xexclude from comparisonMongoDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOne of the most popular document stores
Primary database modelDocument storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.28
Rank#41  Overall
#7  Document stores
Score3.07
Rank#85  Overall
#15  Key-value stores
Score408.07
Rank#5  Overall
#1  Document stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­google/­leveldbwww.mongodb.com
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.mongodb.com/­manual
DeveloperGoogle infoacquired by Google 2014GoogleMongoDB, Inc
Initial release201220112009
Current release1.22, May 20194.0.8, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database in minutes.
Implementation languageC++C++
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesnoyes
SQL infoSupport of SQLnonoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
proprietary protocol using JSON
Supported programming languagesJava
JavaScript
Objective-C
C++
Go
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go infoinofficial driver
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored procedureslimited functionality with using 'rules'noJavaScript
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users and roles
More information provided by the system vendor
Firebase Realtime DatabaseLevelDBMongoDB
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation's GNU AGPL v3.0. Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Firebase Realtime DatabaseLevelDBMongoDB
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