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DBMS > Firebase Realtime Database vs. Hive vs. Ignite

System Properties Comparison Firebase Realtime Database vs. Hive vs. Ignite

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHive  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.data warehouse software for querying and managing large distributed datasets, built on HadoopApache 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 storeRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.13
Rank#38  Overall
#5  Document stores
Score79.69
Rank#14  Overall
#9  Relational DBMS
Score4.93
Rank#71  Overall
#10  Key-value stores
#40  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasehive.apache.orgignite.apache.org
Technical documentationfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docs
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookApache Software Foundation
Initial release201220122015
Current release3.1.2, August 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .Net
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)
TriggersCallbacks are triggered when data changesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
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 rulesAccess rights for users, groups and rolesSecurity Hooks for custom implementations

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More resources
Firebase Realtime DatabaseHiveIgnite
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