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DBMS > Badger vs. Firebase Realtime Database vs. Linter vs. Yanza

System Properties Comparison Badger vs. Firebase Realtime Database vs. Linter vs. Yanza

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLinter  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS for high security requirementsTime Series DBMS for IoT Applications
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­realtime-databaselinter.ruyanza.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­database
DeveloperDGraph LabsGoogle infoacquired by Google 2014relex.ruYanza
Initial release2017201219902015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono 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 languageGoC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesGoJava
JavaScript
Objective-C
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infoproprietary syntax with the possibility to convert from PL/SQLno
TriggersnoCallbacks are triggered when data changesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.no
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardno

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More resources
BadgerFirebase Realtime DatabaseLinterYanza
DB-Engines blog posts

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