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

DBMS > Apache Drill vs. RDF4J vs. Virtuoso

System Properties Comparison Apache Drill vs. RDF4J vs. Virtuoso

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelDocument store
Relational DBMS
RDF storeGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#92  Overall
#17  Document stores
#45  Relational DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Score2.63
Rank#97  Overall
#5  Graph DBMS
#3  Native XML DBMS
#47  Relational DBMS
#2  RDF stores
#11  Search engines
Websitedrill.apache.orgrdf4j.orgvirtuoso.openlinksw.com
Technical documentationdrill.apache.org/­docsdocs.rdf4j.orgdocs.openlinksw.com/­virtuoso
DeveloperApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.OpenLink Software
Initial release201220041998
Current release1.16, May 20198.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemasyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
OLE DB
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
ADO.NET
JDBC
ODBC
Supported programming languagesC++Java
PHP
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyesyes infoVirtuoso PL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneChain, star, and bi-directional replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes 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.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourcenoFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache DrillRDF4J infoformerly known as SesameVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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
Apache DrillRDF4J infoformerly known as SesameVirtuoso
Recent citations in the news

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

SQL Syntax for Apache Drill
16 December 2015, DZone News

Apache Spark vs. Apache Drill
18 May 2016, LinkedIn

SQL-on-Hadoop tech Apache Drill is ready to use and part of MapR's distro
16 September 2014, Gigaom

Apache Drill and the Lack of Support for Nested Arrays
19 September 2016, DZone News

provided by Google News

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

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

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Job opportunities

Tableau Developer
Zentek Solutions,LLC, Jersey, GA

jobs by Indeed




Share this page

Featured Products


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Present your product here