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DBMS > Apache Hive vs. Dolt vs. Firebase Realtime Database

System Properties Comparison Apache Hive vs. Dolt vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonDolt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA MySQL compatible DBMS with Git-like versioning of data and schemaCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score0.60
Rank#232  Overall
#106  Relational DBMS
Score13.43
Rank#39  Overall
#6  Document stores
Websitehive.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-database
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.dolthub.comfirebase.google.com/­docs/­database
DeveloperApache Software Foundation infoinitially developed by FacebookDoltHub IncGoogle infoacquired by Google 2014
Initial release201220182012
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hosted
Data schemeyesyesschema-free
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
CLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infocurrently in alpha releaselimited functionality with using 'rules'
TriggersnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesOnly one user is configurable, and must be specified in the config file at startupyes, based on authentication and database rules

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More resources
Apache HiveDoltFirebase Realtime Database
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