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

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

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonatoti  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud-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 DBMSObject oriented DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.50
Rank#18  Overall
#12  Relational DBMS
Score0.43
Rank#256  Overall
#12  Object oriented DBMS
Score13.43
Rank#39  Overall
#6  Document stores
Websitehive.apache.orgatoti.iofirebase.google.com/­products/­realtime-database
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.atoti.iofirebase.google.com/­docs/­database
DeveloperApache Software Foundation infoinitially developed by FacebookActiveViamGoogle infoacquired by Google 2014
Initial release20122012
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMhosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)no
APIs and other access methodsJDBC
ODBC
Thrift
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonlimited functionality with using 'rules'
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesyes, based on authentication and database rules

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More resources
Apache HiveatotiFirebase Realtime Database
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