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DBMS > Apache Ignite vs. RDF4J

System Properties Comparison Apache Ignite vs. RDF4J

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Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value store
Relational DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.94
Rank#85  Overall
#11  Key-value stores
#47  Relational DBMS
Score0.83
Rank#202  Overall
#7  RDF stores
Websiteignite.apache.orgrdf4j.org
Technical documentationapacheignite.readme.io/­docsrdf4j.org/­documentation
DeveloperApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152004
Current release2.16.0, December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
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 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 controlSecurity Hooks for custom implementationsno

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More resources
Apache IgniteRDF4J infoformerly known as Sesame
Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2025
10 December 2024, PR Newswire

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS
14 May 2016, AWS Blog

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

GridGain In-Memory Data Fabric Becomes Apache Ignite
9 April 2015, Linux.com

Apache Ignite: How to Read Data From Persistent Store
3 June 2016, dzone.com

provided by Google News



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