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DBMS > Firebase Realtime Database vs. GridGain vs. Linter vs. OrientDB

System Properties Comparison Firebase Realtime Database vs. GridGain vs. Linter vs. OrientDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonLinter  Xexclude from comparisonOrientDB  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 IgniteRDBMS for high security requirementsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.35
Rank#38  Overall
#6  Document stores
Score1.77
Rank#124  Overall
#22  Key-value stores
#60  Relational DBMS
Score0.02
Rank#327  Overall
#134  Relational DBMS
Score4.94
Rank#63  Overall
#10  Document stores
#3  Graph DBMS
#11  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasewww.gridgain.comlinter.ru/­enorientdb.com
Technical documentationfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­latestorientdb.org/­docs/­3.0.x
DeveloperGoogle infoacquired by Google 2014GridGain Systems, Inc.relex.ru/­enOrientDB LTD; CallidusCloud
Initial release2012200719902010
Current releaseGridGain 8.5.13.0.23, August 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2
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 languageJava, C++, .NetC and C++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language, no joins
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
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQLJava, Javascript
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)yesHooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
Firebase Realtime DatabaseGridGainLinterOrientDB
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