DBMS > RDF4J vs. Solr vs. WakandaDB

System Properties Comparison RDF4J vs. Solr vs. WakandaDB

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Editorial information provided by DB-Engines
Name	RDF4J formerly known as Sesame  Xexclude from comparison	Solr  Xexclude from comparison	WakandaDB  Xexclude from comparison
Description	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.	A widely used distributed, scalable search engine based on Apache Lucene	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	RDF store	Search engine	Object oriented DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.74 Rank #206   Overall #9   RDF stores	Score 56.61 Rank #20   Overall #3   Search engines	Score 0.03 Rank #345   Overall #18   Object oriented DBMS
Website	rdf4j.org	lucene.apache.org/­solr	wakanda.github.io
Technical documentation	rdf4j.org/­documentation	lucene.apache.org/­solr/­resources.html	doc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
Developer	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.	Apache Software Foundation	Wakanda SAS
Initial release	2004	2006	2012
Current release		9.0.0, May 2022	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	Open Source Eclipse Distribution License (EDL), v1.0.	Open Source Apache Version 2	Open Source AGPLv3, extended commercial license available
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Java	Java	C++, JavaScript
Server operating systems	Linux OS X Unix Windows	All OS with a Java VM runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)	Linux OS X Windows
Data scheme	yes RDF Schemas	yes Dynamic Fields enables on-the-fly addition of new fields	yes
Typing predefined data types such as float or date	yes	yes supports customizable data types and automatic typing	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	no
Secondary indexes	yes	yes All search fields are automatically indexed
SQL Support of SQL	no	Solr Parallel SQL Interface	no
APIs and other access methods	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL	Java API RESTful HTTP/JSON API	RESTful HTTP API
Supported programming languages	Java PHP Python	.Net Erlang Java JavaScript any language that supports sockets and either XML or JSON Perl PHP Python Ruby Scala	JavaScript
Server-side scripts Stored procedures	yes	Java plugins	yes
Triggers	yes	yes User configurable commands triggered on index changes	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	none	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce	no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID Isolation support depends on the API used	optimistic locking	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes in-memory storage is supported as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	no
User concepts Access control	no	yes	yes
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More resources
	RDF4J formerly known as Sesame	Solr	WakandaDB
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