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DBMS > Firebase Realtime Database vs. Kinetica

System Properties Comparison Firebase Realtime Database vs. Kinetica

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Our visitors often compare Firebase Realtime Database and Kinetica with MongoDB, Redis and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKinetica  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.GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.00
Rank#41  Overall
#7  Document stores
Score0.60
Rank#192  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.kinetica.com
Technical documentationfirebase.google.com/­docs/­databasewww.kinetica.com/­docs
DeveloperGoogle infoacquired by Google 2014Kinetica
Initial release20122012
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
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, C++
Server operating systemshostedLinux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functions
TriggersCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
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 infoGPU vRAM or System RAM
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users and roles on table level

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More resources
Firebase Realtime DatabaseKinetica
Recent citations in the news

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

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