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DBMS > Hive vs. OceanBase vs. RDF4J vs. YTsaurus

System Properties Comparison Hive vs. OceanBase vs. RDF4J vs. YTsaurus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOceanBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYTsaurus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed, high available RDBMS compatible with Oracle and MySQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSRelational DBMSRDF storeDocument store
Key-value store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitehive.apache.orgen.oceanbase.comrdf4j.orgytsaurus.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeen.oceanbase.com/­docs/­oceanbase-databaserdf4j.org/­documentationytsaurus.tech/­docs/­en
DeveloperApache Software Foundation infoinitially developed by FacebookOceanBase infopreviously Alibaba and Ant GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yandex
Initial release2012201020042023
Current release3.1.3, April 20224.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoCommercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache License, Version 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++JavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Ubuntu
Data schemeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
PHP
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using Paxosnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
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 datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardnoAccess Control Lists

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More resources
HiveOceanBaseRDF4J infoformerly known as SesameYTsaurus
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