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DBMS > Apache Hive vs. ObjectBox

System Properties Comparison Apache Hive vs. ObjectBox

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonObjectBox  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score1.11
Rank#175  Overall
#7  Object oriented DBMS
#13  Vector DBMS
Websitehive.apache.orggithub.com/­objectbox
objectbox.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.objectbox.io
DeveloperApache Software Foundation infoinitially developed by FacebookObjectBox Limited
Initial release20122017
Current release3.1.3, April 20224.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache Version 2Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like types
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 statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary native API
Supported programming languagesC++
Java
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlAccess rights for users, groups and rolesyes
More information provided by the system vendor
Apache HiveObjectBox
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