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DBMS > Firebase Realtime Database vs. Hive vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Prometheus

System Properties Comparison Firebase Realtime Database vs. Hive vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Prometheus

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparisonPrometheus  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.data warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessOpen-source Time Series DBMS and monitoring system
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasehive.apache.orgazure.microsoft.com/­services/­synapse-analyticsplanetscale.comprometheus.io
Technical documentationfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docsprometheus.io/­docs
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookMicrosoftPlanetScale
Initial release20122012201620202015
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++GoGo
Server operating systemshostedAll OS with a Java VMhostedDocker
Linux
macOS
Linux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.nonono infoImport of XML data possible
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infowith proprietary extensionsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
PHP
Python
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceTransact SQLyes infoproprietary syntaxno
TriggersCallbacks are triggered when data changesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
none
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID at shard levelno
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and rolesyesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Firebase Realtime DatabaseHiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScalePrometheus
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