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DBMS > Firebase Realtime Database vs. InfluxDB vs. Kdb

System Properties Comparison Firebase Realtime Database vs. InfluxDB vs. Kdb

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonInfluxDB  Xexclude from comparisonKdb  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.DBMS for storing time series, events and metricsHigh performance Time Series DBMS
Primary database modelDocument storeTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.15
Rank#39  Overall
#6  Document stores
Score21.54
Rank#28  Overall
#1  Time Series DBMS
Score6.49
Rank#53  Overall
#2  Time Series DBMS
#4  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.influxdata.com/­products/­influxdb-overviewkx.com
Technical documentationfirebase.google.com/­docs/­databasedocs.influxdata.com/­influxdbcode.kx.com
DeveloperGoogle infoacquired by Google 2014Kx Systems, a division of First Derivatives plc
Initial release201220132000 infokdb was released 2000, kdb+ in 2003
Current release2.7.6, April 20243.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree 32-bit version
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 languageGoq
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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.nonoyes
Secondary indexesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (q)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
JSON over UDP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesJava
JavaScript
Objective-C
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nouser defined functions
TriggersCallbacks are triggered when data changesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processing
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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 infoDepending on used storage engineyes
User concepts infoAccess controlyes, based on authentication and database rulessimple rights management via user accountsrights management via user accounts
More information provided by the system vendor
Firebase Realtime DatabaseInfluxDBKdb
News

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

Optimizing SQL (and DataFrames) in DataFusion: Part 2
3 April 2025

Simplifying Multi-Node Setups with InfluxDB 3 Enterprise Modes
2 April 2025

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More resources
Firebase Realtime DatabaseInfluxDBKdb
DB-Engines blog posts

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4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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