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

DBMS > Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison Microsoft Azure Table Storage vs. RDF4J

Please select another system to include it in the comparison.

Our visitors often compare Microsoft Azure Table Storage and RDF4J with Microsoft Azure Cosmos DB, MongoDB and PostgreSQL.

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.54
Rank#64  Overall
#5  Wide column stores
Score0.37
Rank#219  Overall
#10  RDF stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationdocs.rdf4j.org
DeveloperMicrosoftSince 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 languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeschema-freeyes 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 indexesnoyes
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID 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.no
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesno

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
Microsoft Azure Table StorageRDF4J infoformerly known as Sesame
Recent citations in the news

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

InRule Technology® Releases InRule® Metrics to Provide Enterprises with Actionable Insights into Automated Decisions
10 June 2019, SYS-CON Media

Microsoft Azure Vs AWS : Features, Pricing, Usage, Market Share
6 June 2019, The Indian Wire

Good news: Microsoft's Azure Data Box Disk is here. Bad news: UK South Storage is having a liedown
10 January 2019, The Register

Writing server-side code in Azure Cosmos DB
30 April 2019, InfoWorld

provided by Google News

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

Ontotext's GraphDB 8.10 improves knowledge graph experience
12 June 2019, KMWorld Magazine

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

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

provided by Google News

Job opportunities

Azure Cloud Native Solution Architect
Digital Management, LLC, Indianapolis, IN

Azure Application Architect
Quisitive, Dallas, TX

Principal Architect
Microsoft, Redmond, WA

Solution Architect - Data & Analytics
Neudesic LLC, New York, NY

Solution Architect - Data & Analytics
Neudesic LLC, Tempe, AZ

Software Engineer/Data Scientist
Parsons, Rosslyn, VA

Semantic Data Integrator
Roche, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

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.

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.

Present your product here