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

DBMS > Amazon Redshift vs. RDF4J

System Properties Comparison Amazon Redshift vs. RDF4J

Please select another system to include it in the comparison.

Our visitors often compare Amazon Redshift and RDF4J with Microsoft Azure Cosmos DB, Neo4j and MongoDB.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsRDF4J 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
Score21.31
Rank#29  Overall
#17  Relational DBMS
Score0.39
Rank#217  Overall
#11  RDF stores
Websiteaws.amazon.com/­redshiftrdf4j.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.rdf4j.org
DeveloperAmazon (based on PostgreSQL)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122004
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardno
APIs and other access methodsJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCJava
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the system
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Amazon RedshiftRDF4J infoformerly known as Sesame
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Recent citations in the news

AWS Announces General Availability of Concurrency Scaling for Amazon Redshift
29 March 2019, MarTech Series

Amazon CTO Werner Vogels: Moving away from Oracle helps us move faster
27 March 2019, Business Insider

Amazon Aids Redshift's Performance With Concurrency Scaling
28 March 2019, Zacks.com

AWS adds Concurrency Scaling feature to Amazon Redshift
28 March 2019, Telecompaper

AWS month in review: More AWS deep learning capabilities - AWS Cloud Cover
29 March 2019, TechTarget

provided by Google News

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

provided by Google News

Job opportunities

Business Intelligence Developer, Tableau
Rally Health, San Francisco, CA

Project Management Intern - New York
WeWork, New York, NY

Data Warehouse Engineer I
MINDBODY, Inc, Irvine, CA

Business Analyst
Amazon.com Services, Inc., Seattle, WA

Data Warehouse Engineer I
MINDBODY, Inc, San Luis Obispo, CA

Software Engineer/Data Scientist
Parsons, Rosslyn, VA

Data Scientist
Parsons, Rosslyn, VA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

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

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Present your product here