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DBMS > Firebase Realtime Database vs. Newts vs. ObjectBox vs. PlanetScale vs. Yanza

System Properties Comparison Firebase Realtime Database vs. Newts vs. ObjectBox vs. PlanetScale vs. Yanza

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNewts  Xexclude from comparisonObjectBox  Xexclude from comparisonPlanetScale  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded 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.Time Series DBMS based on CassandraExtremely fast embedded database for small devices, IoT and MobileScalable, distributed, serverless MySQL database platform built on top of VitessTime Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMSObject oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtsobjectbox.ioplanetscale.comyanza.com
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikidocs.objectbox.ioplanetscale.com/­docs
DeveloperGoogle infoacquired by Google 2014OpenNMS GroupObjectBox LimitedPlanetScaleYanza
Initial release20122014201720202015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Go
Server operating systemshostedLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnononoyes infowith proprietary extensionsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
Proprietary native APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
JavaC
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
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyes infoproprietary syntaxno
TriggersCallbacks are triggered when data changesnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
none
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
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.nonoyes
User concepts infoAccess controlyes, based on authentication and database rulesnoyesUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
Firebase Realtime DatabaseNewtsObjectBoxPlanetScaleYanza
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
Firebase Realtime DatabaseNewtsObjectBoxPlanetScaleYanza
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