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DBMS > Apache Phoenix vs. Firebase Realtime Database vs. Microsoft SQL Server vs. STSdb

System Properties Comparison Apache Phoenix vs. Firebase Realtime Database vs. Microsoft SQL Server vs. STSdb

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Microsofts flagship relational DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitephoenix.apache.orgfirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­sql-servergithub.com/­STSSoft/­STSdb4
Technical documentationphoenix.apache.orgfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software FoundationGoogle infoacquired by Google 2014MicrosoftSTS Soft SC
Initial release2014201219892011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019SQL Server 2022, November 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsLinux
Unix
Windows
hostedLinux
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript
Objective-C
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
Java
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
TriggersnoCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
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.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes, based on authentication and database rulesfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixFirebase Realtime DatabaseMicrosoft SQL ServerSTSdb
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