DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hive vs. RDF4J

System Properties Comparison Hive vs. RDF4J

Please select another system to include it in the comparison.

Our visitors often compare Hive and RDF4J with Neo4j, GraphDB and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
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.
Primary database modelRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.04
Rank#14  Overall
#9  Relational DBMS
Score0.50
Rank#232  Overall
#9  RDF stores
Websitehive.apache.orgrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homerdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122004
Current release3.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
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
Supported programming languagesC++
Java
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
User concepts infoAccess controlAccess rights for users, groups and rolesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HiveRDF4J infoformerly known as Sesame
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Apache Iceberg: The Hub of an Emerging Data Service Ecosystem?
8 February 2021, Datanami

Article: Performance Tuning Techniques of Hive Big Data Table
5 February 2021, InfoQ.com

Open-Source Database Software Market 2021 Industry Growth Analysis, Future Predictions, SWOT Analysis, By Top Players- MySQL Redis MongoDB Couchbase Apache Hive MariaDB Neo4j SQLite Titan
2 March 2021, NY Market Reports

2011 – The Emergence of Hadoop
1 March 2021, Datanami

Why the Fortune 500 is (Just) Finally Dumping Hadoop
17 February 2021, The Next Platform

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PR Newswire UK

GraphDB Goes Open Source
27 January 2020, iProgrammer

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

provided by Google News

Job opportunities

Software Developer I
S&P Global, New York, NY

.Net Software Developer
Prabhav Services, Parsippany, NJ

Data Engineer
Simplex Software, Remote

Data Analyst - Looker
Elasticiti, Remote

Apache Spark
Denken Solutions Inc, Beaverton, OR

jobs by Indeed




Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here