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DBMS > Firebase Realtime Database vs. Hive vs. InterSystems Caché vs. Microsoft SQL Server

System Properties Comparison Firebase Realtime Database vs. Hive vs. InterSystems Caché vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application serverMicrosofts flagship relational DBMS
Primary database modelDocument storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasehive.apache.orgwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­sql-server
Technical documentationfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.comlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookInterSystemsMicrosoft
Initial release2012201219971989
Current release3.1.3, April 20222018.1.4, May 2020SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
PHP
Python
C#
C++
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
TriggersCallbacks are triggered when data changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
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 controlyes, based on authentication and database rulesAccess rights for users, groups and rolesAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseHiveInterSystems CachéMicrosoft SQL Server
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