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DBMS > Firebase Realtime Database vs. Hazelcast vs. InterSystems Caché

System Properties Comparison Firebase Realtime Database vs. Hazelcast vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridA multi-model DBMS and application server
Primary database modelDocument storeKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score6.87
Rank#55  Overall
#6  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasehazelcast.comwww.intersystems.com/­products/­cache
Technical documentationfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsdocs.intersystems.com
DeveloperGoogle infoacquired by Google 2014HazelcastInterSystems
Initial release201220081997
Current release5.3.6, November 20232018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
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
Server operating systemshostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freedepending on used data model
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 infothe object must implement a serialization strategyyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes
TriggersCallbacks are triggered when data changesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACID
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.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlAccess rights for users, groups and roles

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More resources
Firebase Realtime DatabaseHazelcastInterSystems Caché
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