🆚 SearchStax vs. Solr
Compare technologies based on real-world usage data *- 📈 Solr is much more popular than SearchStax.
- 🌍 Solr is more popular in all countries.
SearchStax
SolrType
About
SearchStax is a site search platform built on Apache Solr that provides tools and managed infrastructure for implementing search in websites and applications.
It offers the Site Search solution with prebuilt search interfaces, analytics, relevance tuning, autosuggest and faceted navigation, and AI features such as Smart Answers and Smart Ranking. The company also provides the Managed Search service that operates and scales Solr clusters with automation, monitoring, and backups, and integrates with Sitecore, Drupal, and Django.
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
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥇 Most popular in Germany in the Site Search category.
- 🥇 Most popular in the United Arab Emirates in the Site Search category.
- 🥇 Most popular in Austria in the Site Search category.
- 🥇 Most popular in Portugal in the Site Search category.
- 🥈 Second most popular in Australia in the Site Search category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
Algolia
Site Search 360
AddSearch
Swiftype
Meilisearch
Elasticsearch
Lunr
Apache Software Foundation company profile* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.