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DBMS > Firebase Realtime Database vs. Kdb vs. ObjectBox vs. Vitess

System Properties Comparison Firebase Realtime Database vs. Kdb vs. ObjectBox vs. Vitess

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKdb  Xexclude from comparisonObjectBox  Xexclude from comparisonVitess  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.High performance Time Series DBMSExtremely fast embedded database for small devices, IoT and MobileScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasekx.comobjectbox.iovitess.io
Technical documentationfirebase.google.com/­docs/­databasecode.kx.comdocs.objectbox.iovitess.io/­docs
DeveloperGoogle infoacquired by Google 2014Kx Systems, a division of First Derivatives plcObjectBox LimitedThe Linux Foundation, PlanetScale
Initial release20122000 infokdb was released 2000, kdb+ in 200320172013
Current release3.6, May 201815.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoApache License 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC and C++Go
Server operating systemshostedLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)noyes infowith proprietary extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary native APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsnoyes infoproprietary syntax
TriggersCallbacks are triggered when data changesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesrights management via user accountsyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Firebase Realtime DatabaseKdbObjectBoxVitess
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
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More resources
Firebase Realtime DatabaseKdbObjectBoxVitess
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