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DBMS > Hive vs. Interbase vs. Kinetica vs. RDF4J vs. Riak TS

System Properties Comparison Hive vs. Interbase vs. Kinetica vs. RDF4J vs. Riak TS

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak TS  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSRelational DBMSRDF storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitehive.apache.orgwww.embarcadero.com/­products/­interbasewww.kinetica.comrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedocs.kinetica.comrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookEmbarcaderoKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Open Source, formerly Basho Technologies
Initial release20121984201220042015
Current release3.1.3, April 2022InterBase 2020, December 20197.1, August 20213.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC, C++JavaErlang
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux
OS X
Data schemeyesyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoexport as XML data possiblenono
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsnoyes, limited
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageuser defined functionsyesErlang
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInterbase Change ViewsSource-replica replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnono

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More resources
HiveInterbaseKineticaRDF4J infoformerly known as SesameRiak TS
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