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DBMS > Firebase Realtime Database vs. Firebolt vs. GigaSpaces vs. Linter

System Properties Comparison Firebase Realtime Database vs. Firebolt vs. GigaSpaces vs. Linter

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonFirebolt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLinter  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.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsRDBMS for high security requirements
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.43
Rank#39  Overall
#6  Document stores
Score1.46
Rank#146  Overall
#67  Relational DBMS
Score0.94
Rank#194  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.00
Rank#386  Overall
#159  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.firebolt.iowww.gigaspaces.comlinter.ru
Technical documentationfirebase.google.com/­docs/­databasedocs.firebolt.iodocs.gigaspaces.com/­latest/­landing.html
DeveloperGoogle infoacquired by Google 2014Firebolt Analytics Inc.Gigaspaces Technologiesrelex.ru
Initial release2012202020001990
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++
Server operating systemshostedhostedLinux
macOS
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeyesschema-freeyes
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 infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesJava
JavaScript
Objective-C
Go
JavaScript (Node.js)
Python
.Net
C++
Java
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersCallbacks are triggered when data changesnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
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 infoConsistency level configurable: ALL, QUORUM, ANYImmediate 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
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.yes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseFireboltGigaSpacesLinter
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