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DBMS > Hive vs. ObjectBox vs. Riak KV vs. Trafodion

System Properties Comparison Hive vs. ObjectBox vs. Riak KV vs. Trafodion

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonObjectBox  Xexclude from comparisonRiak KV  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 vectorsDistributed, fault tolerant key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitehive.apache.orggithub.com/­objectbox
objectbox.io
trafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.objectbox.iowww.tiot.jp/­riak-docs/­riak/­kv/­latesttrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by FacebookObjectBox LimitedOpenSource, formerly Basho TechnologiesApache Software Foundation, originally developed by HP
Initial release2012201720092014
Current release3.1.3, April 20224.0 (May 2024)3.2.0, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++ErlangC++, Java
Server operating systemsAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
OS X
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesnoyes
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
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary native APIHTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoErlangJava Stored Procedures
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorData sync between devices allowing occasional connected databases to work completely offlineselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesyesyes, using Riak Securityfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveObjectBoxRiak KVTrafodion
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