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DBMS > Firebase Realtime Database vs. NuoDB vs. Solr vs. Yanza

System Properties Comparison Firebase Realtime Database vs. NuoDB vs. Solr vs. Yanza

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNuoDB  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.NuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelDocument storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databasewww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.orgyanza.com
Technical documentationfirebase.google.com/­docs/­databasedoc.nuodb.comsolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014Dassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationYanza
Initial release2012201320062015
Current release9.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono 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 languageC++Java
Server operating systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesSolr Parallel SQL Interfaceno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.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'Java, SQLJava pluginsno
TriggersCallbacks are triggered when data changesyesyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesdata is dynamically stored/cached on the nodes where it is read/writtenShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoManaged transparently by NuoDByesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-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
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infotunable commit protocoloptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.yes infoTemporary tableyes
User concepts infoAccess controlyes, based on authentication and database rulesStandard SQL roles/ privileges, Administrative Usersyesno

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More resources
Firebase Realtime DatabaseNuoDBSolrYanza
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