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DBMS > Hive vs. RDF4J vs. Warp 10 vs. Yaacomo

System Properties Comparison Hive vs. RDF4J vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRDF storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitehive.apache.orgrdf4j.orgwww.warp10.ioyaacomo.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homerdf4j.org/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoinitially developed by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SenXQ2WEB GmbH
Initial release2012200420152009
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesyes infoRDF Schemasschema-freeyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infoWarpScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
HiveRDF4J infoformerly known as SesameWarp 10Yaacomo
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