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DBMS > Firebase Realtime Database vs. Kinetica vs. ObjectBox vs. Tkrzw vs. Transbase

System Properties Comparison Firebase Realtime Database vs. Kinetica vs. ObjectBox vs. Tkrzw vs. Transbase

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTransbase  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.Fully vectorized database across both GPUs and CPUsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSObject oriented DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.kinetica.comgithub.com/­objectbox
objectbox.io
dbmx.net/­tkrzwwww.transaction.de/­en/­products/­transbase.html
Technical documentationfirebase.google.com/­docs/­databasedocs.kinetica.comdocs.objectbox.iowww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogle infoacquired by Google 2014KineticaObjectBox LimitedMikio HirabayashiTransaction Software GmbH
Initial release20122012201720201987
Current release7.1, August 20214.0 (May 2024)0.9.3, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++C++C and C++
Server operating systemshostedLinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesnoyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary native APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Java
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsnonoyes
TriggersCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offlinenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infousing specific database classesno
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users and roles on table levelyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseKineticaObjectBoxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTransbase
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On-device Vector Database for Dart/Flutter
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More resources
Firebase Realtime DatabaseKineticaObjectBoxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTransbase
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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ObjectBox Raises $2M in Funding
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The Megashift Towards Decentralized Edge Computing
27 August 2021, hackernoon.com

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