DBMS > RDF4J vs. ReductStore vs. SiteWhere vs. TinkerGraph

System Properties Comparison RDF4J vs. ReductStore vs. SiteWhere vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

M2M integration platform for persisting/querying time series data

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

RDF store

Time Series DBMS

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.72
Rank	#222	Overall
	#9	RDF stores

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.07
Rank	#347	Overall
	#33	Time Series DBMS

Score	0.08
Rank	#345	Overall
	#34	Graph DBMS

Website

rdf4j.org

github.com/reductstore
www.reduct.store

github.com/sitewhere/sitewhere

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

rdf4j.org/documentation

www.reduct.store/docs

sitewhere1.sitewhere.io/index.html

Developer

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

ReductStore LLC

SiteWhere

Initial release

2004

2023

2010

2009

Current release

1.9, March 2024

License

Commercial or Open Source

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Business Source License 1.1

Open Source

Common Public Attribution License Version 1.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++, Rust

Java

Server operating systems

Linux
OS X
Unix
Windows

Docker
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

yes

RDF Schemas

predefined scheme

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

HTTP API

HTTP REST

TinkerPop 3

Supported programming languages

Java
PHP
Python

C++
JavaScript (Node.js)
Python
Rust

Groovy
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

based on HBase

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

yes

optional

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users with fine-grained authorization concept

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More resources

Recent citations in the news

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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9 March 2023, H2S Media

provided by Google News

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

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26 February 2019, AWS Blog

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