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DBMS > Firebase Realtime Database vs. Ignite

System Properties Comparison Firebase Realtime Database vs. Ignite

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIgnite  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.00
Rank#41  Overall
#7  Document stores
Score5.09
Rank#60  Overall
#10  Key-value stores
#35  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseignite.apache.org
Technical documentationfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docs
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation
Initial release20122015
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .Net
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 implementations

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More resources
Firebase Realtime DatabaseIgnite
Recent citations in the news

Realtime vs Cloud Firestore: Which Firebase Database to go?
12 October 2018, Appinventiv

How unsecured Firebase databases put critical data at risk
16 January 2019, TechTarget

On the verge of Next '19, Google must double down on cloud applications
1 April 2019, SiliconANGLE News

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Firebase for Startups: A Must-Have or Non-Essential
23 January 2019, Appinventiv

provided by Google News

GridGain Unveils Support Offering for Apache Ignite
5 February 2019, GlobeNewswire

GridGain Community Edition Brings Production Readiness to Apache Ignite
5 March 2019, GlobeNewswire

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

Apache Ignite 2.7 adds new integration with TensorFlow's deep learning framework
13 December 2018, SDTimes.com

GridGain Cloud In-Memory-Computing-Platform-as-a-Service Adds Automatic Data Persistence, High Availability and Immediate Restarts
10 January 2019, GlobeNewswire

provided by Google News

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