🆚 Boost vs. SearchStax
- 📈 Boost is much more popular than SearchStax.
- 🌍 Boost is more popular in all countries.
Type
About
Boost is an AI-powered search and discovery solution for Shopify stores that improves product findability and browsing by enhancing site search, filters, recommendations, and merchandising.
It provides AI-powered search with typo tolerance and synonym detection, dynamic product filters, predictive product bundles, analytics on search behavior, and personalized product recommendations.
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.
Headquarters
Pricing
(up to $5K GMV)$29+/month
(up to $100K GMV)$299+/month
(up to $650K GMV)$699+/month
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
- 🥈 Second most popular in Japan in the Site Search category.
- 🥈 Second most popular in New Zealand in the Site Search category.
- 🥉 Third most popular in Japan in the Live Chats category.
- 🥉 Third most popular in India in the Site Search category.
- 🥉 Third most popular in Ireland in the Conversion Optimization 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.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,375,483 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
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