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

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

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNewts  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  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 MobileA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMSObject oriented DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMSSpatial 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
Score42.91
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtsobjectbox.iosolr.apache.orgyanza.com
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikidocs.objectbox.iosolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014OpenNMS GroupObjectBox LimitedApache Software FoundationYanza
Initial release20122014201720062015
Current release9.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono 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++Java
Server operating systemshostedLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingno
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.nononoyesno
Secondary indexesyesnoyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnononoSolr Parallel SQL Interfaceno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
Proprietary native APIJava API
RESTful HTTP/JSON API
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoJava pluginsno
TriggersCallbacks are triggered when data changesnonoyes infoUser configurable commands triggered on index changesyes 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 serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDoptimistic lockingno
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.nonoyes
User concepts infoAccess controlyes, based on authentication and database rulesnoyesyesno
More information provided by the system vendor
Firebase Realtime DatabaseNewtsObjectBoxSolrYanza
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 DatabaseNewtsObjectBoxSolrYanza
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