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

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

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  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 multi-model DBMS and application serverFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cachewww.kinetica.com
Technical documentationfirebase.google.com/­docs/­databasedocs.intersystems.comdocs.kinetica.com
DeveloperGoogle infoacquired by Google 2014InterSystemsKinetica
Initial release201219972012
Current release2018.1.4, May 20207.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
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 languageC, C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freedepending on used data modelyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesuser defined functions
TriggersCallbacks are triggered when data changesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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 infoGPU vRAM or System RAM
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and rolesAccess rights for users and roles on table level

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More resources
Firebase Realtime DatabaseInterSystems CachéKinetica
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