🆚 DataparkSearch vs. Solr

Compare technologies based on real-world usage data *

📈 Solr is much more popular than DataparkSearch.
🌎 Solr is more popular in the United States, Germany, and the United Kingdom.
🌍 DataparkSearch is more popular in France, Poland, and Isle of Man.

DataparkSearch

Solr

Type

Site search software solution

About

DataparkSearch Engine is an open-source, web-based search engine designed to index and search content across websites, intranets, and local systems.

It can index plain text, HTML, XML, MP3, and GIF and offers multilingual indexing, boolean queries, and customizable ranking algorithms.

Solr is an open-source enterprise search server built on the Apache Lucene information retrieval library that provides full-text, faceted, and geospatial search over HTTP APIs.

It supports advanced query parsers and hit highlighting, schema-based and schemaless indexing, distributed indexing and fault-tolerant search with SolrCloud, and parsing of rich documents such as PDFs, Microsoft Word, Microsoft Excel, PowerPoint, HTML, and OpenDocument formats.

Headquarters

Wilmington, Delaware, United States

Website

dataparksearch.org

solr.apache.org

Pricing

Free ✔️Open source

Popularity

Determined by the number of sites using each technology.

The Solr site search software solution is 8 times more popular than DataparkSearch.

Total websites

Market share

Site Search

Popularity by country

Determined by the number of sites detected from each country.

Solr is more popular in the United States, Germany, and the United Kingdom, while DataparkSearch is more popular in France, Poland, and Isle of Man.

United States

Germany

France

United Kingdom

Australia

Netherlands

Poland

Canada

Spain

Belgium