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DBMS > Firebase Realtime Database vs. Microsoft SQL Server vs. WakandaDB

System Properties Comparison Firebase Realtime Database vs. Microsoft SQL Server vs. WakandaDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonWakandaDB  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.Microsofts relational DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.81
Rank#40  Overall
#7  Document stores
Score1096.20
Rank#3  Overall
#3  Relational DBMS
Score0.08
Rank#292  Overall
#14  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­sql-serverwakanda.github.io
Technical documentationfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperGoogle infoacquired by Google 2014MicrosoftWakanda SAS
Initial release201219892012
Current releaseSQL Server 2019, November 20192.1.0, July 2017
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaScript
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript
Server-side scripts infoStored procedureslimited functionality with using 'rules'Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardyes

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More resources
Firebase Realtime DatabaseMicrosoft SQL ServerWakandaDB
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