DBMS > InterSystems IRIS vs. RDF4J vs. Speedb vs. SwayDB

System Properties Comparison InterSystems IRIS vs. RDF4J vs. Speedb vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability

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

An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Document store
Key-value store
Object oriented DBMS
Relational DBMS

RDF store

Key-value store

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

Score	2.98
Rank	#91	Overall
	#17	Document stores
	#14	Key-value stores
	#1	Object oriented DBMS
	#49	Relational DBMS

Score	0.72
Rank	#222	Overall
	#9	RDF stores

Score	0.20
Rank	#310	Overall
	#44	Key-value stores

Score	0.00
Rank	#384	Overall
	#60	Key-value stores

Website

www.intersystems.com/products/intersystems-iris

rdf4j.org

www.speedb.io

swaydb.simer.au

Technical documentation

docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls

rdf4j.org/documentation

Developer

InterSystems

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

Speedb

Simer Plaha

Initial release

2018

2004

2020

2018

Current release

2023.3, June 2023

License

Commercial or Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Apache Version 2.0; commercial license available

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Scala

Server operating systems

AIX
Linux
macOS
Ubuntu
Windows

Linux
OS X
Unix
Windows

Linux
Windows

Data scheme

depending on used data model

yes

RDF Schemas

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

.Net
C++
Java
JavaScript (Node.js)
Python

Java
PHP
Python

C
C++
Go
Java
Perl
Python
Ruby

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Isolation support depends on the API used

yes

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

yes

In-memory capabilities

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

yes

User concepts

Access control

yes

More information provided by the system vendor

Specific characteristics

InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources

Recent citations in the news

InterSystems TrakCare and InterSystems IRIS for Health to underpin deployment of fully unified future-ready AI-driven healthcare ecosystem at NEOM
24 July 2024, PR Newswire

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26 March 2024, Datanami

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