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DBMS > Badger vs. Firebase Realtime Database vs. Hypertable vs. PlanetScale vs. SQream DB

System Properties Comparison Badger vs. Firebase Realtime Database vs. Hypertable vs. PlanetScale vs. SQream DB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonPlanetScale  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.An open source BigTable implementation based on distributed file systems such as HadoopScalable, distributed, serverless MySQL database platform built on top of Vitessa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeDocument storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­realtime-databaseplanetscale.comsqream.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­databaseplanetscale.com/­docsdocs.sqream.com
DeveloperDGraph LabsGoogle infoacquired by Google 2014Hypertable Inc.PlanetScaleSQream Technologies
Initial release20172012200920202017
Current release0.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++GoC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Linux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLnononoyes infowith proprietary extensionsyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
.Net
JDBC
ODBC
Supported programming languagesGoJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes infoproprietary syntaxuser defined functions in Python
TriggersnoCallbacks are triggered when data changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID at shard levelACID
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.noyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
BadgerFirebase Realtime DatabaseHypertablePlanetScaleSQream DB
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