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DBMS > Firebase Realtime Database vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. OrigoDB vs. Percona Server for MongoDB

System Properties Comparison Firebase Realtime Database vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. OrigoDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Cloud-based data warehousing serviceA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument storeRelational DBMSWide column storeDocument store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationfirebase.google.com/­docs/­databaseorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperGoogle infoacquired by Google 2014IBMMicrosoftRobert Friberg et alPercona
Initial release2012201420122009 infounder the name LiveDB2015
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++
Server operating systemshostedhostedhostedLinux
Windows
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infoImport/export of XML data possiblenono infocan be achieved using .NETno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP API.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesJava
JavaScript
Objective-C
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored procedureslimited functionality with using 'rules'PL/SQL, SQL PLnoyesJavaScript
TriggersCallbacks are triggered when data changesyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infovia In-Memory Engine
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesRole based authorizationAccess rights for users and roles

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More resources
Firebase Realtime DatabaseIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Table StorageOrigoDBPercona Server for MongoDB
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