DBMS > RDF4J vs. Solr vs. WakandaDB

System Properties Comparison RDF4J vs. Solr vs. WakandaDB

Please select another system to include it in the comparison.

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.

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	0.90
Rank	#233	Overall
	#9	RDF stores

Score	44.20
Rank	#24	Overall
	#3	Search engines

Score	0.03
Rank	#391	Overall
	#21	Object oriented DBMS

Website

rdf4j.org

solr.apache.org

wakanda.github.io

Technical documentation

rdf4j.org/documentation

solr.apache.org/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

9.4.0, October 2023

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

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

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

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

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

Solr Parallel SQL Interface

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

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

spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

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

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

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

DB-Engines blog posts

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

6 Java Libraries for Machine Learning
2 October 2023, Analytics India Magazine

Intara FAQs
16 November 2022, Jane's

provided by Google News

Top 5 stock gainers and losers: SOLR.V, GRSL.V, ANON.C
21 November 2023, Equity.Guru

Renewable energy stock achieves first profitable quarter | 2023-11 ...
21 November 2023, Stockhouse Publishing

How to import data into Apache Solr
17 May 2022, TechRepublic

What is Apache Solr? And why you should use it
20 July 2017, InfoWorld

Pelham meeting Wednesday evening will cover proposed changes ...
12 April 2023, GazetteNET

provided by Google News

Wakanda 4 : la plateforme de développement open source 100 ...
2 February 2017, Developpez.com

provided by Google News

Job opportunities

Ontologist
Johns Hopkins Applied Physics Laboratory (APL), Laurel, MD

2024 PhD Graduate - Ontologist
Johns Hopkins Applied Physics Laboratory (APL), Laurel, MD

Remote, Text Search Enginner with Solr or Lucene or Lucid Works
CapB InfoteK, Boston, MA

Sale Manager - Clean Energy Consultant at SOLR
SOLR - The Future is Clean, Los Angeles, CA

Principal Drupal Developer – Digital Services – Human Services Agency (1064) (138114)
City and County of San Francisco, San Francisco, CA

Full stack Cloud Developer - Secret Clearance
Blu Omega, Remote

Staff Software Engineering
Zelis, Remote

jobs by

Share this page