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DBMS > Firebase Realtime Database vs. GridGain vs. SQLite

System Properties Comparison Firebase Realtime Database vs. GridGain vs. SQLite

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonSQLite  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.GridGain is an in-memory computing platform, built on Apache IgniteWidely used in-process RDBMS
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.60
Rank#40  Overall
#7  Document stores
Score1.72
Rank#123  Overall
#22  Key-value stores
#60  Relational DBMS
Score121.03
Rank#11  Overall
#7  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gridgain.comwww.sqlite.org
Technical documentationfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­latestwww.sqlite.org/­docs.html
DeveloperGoogle infoacquired by Google 2014GridGain Systems, Inc.Dwayne Richard Hipp
Initial release201220072000
Current releaseGridGain 8.5.13.30.1, October 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC
Server operating systemshostedLinux
OS X
Solaris
Windows
server-less
Data schemeschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoSQL-92 is not fully supported
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
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
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsno

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More resources
Firebase Realtime DatabaseGridGainSQLite
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