Most online shoppers prefer to search on-site for products rather than navigate through by category. And yet, many brands treat on-site search as an afterthought. Search capabilities often can’t account for synonyms or misspellings, which creates a poor customer experience and depresses conversion rates.
While advanced search engines solve these issues, they introduce their own complexity and performance challenges. Elasticsearch, Solr, and Sphinx are applications that execute complex database queries and return the results through a standardized JSON interface, where an ecommerce platform translates them into search results.
Read more about how to load test your on-site search and improve performance.
The following checklist outlines the most popular site search technologies that you may consider implementing on your website to improve search performance.
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.
- Apache Solr
Solr is highly reliable, scalable and fault-tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more.
- Amazon CloudSearch
Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
An open-source document search engine with automated crawling, OCR, tagging and instant full-text search.
Algolia helps businesses across industries quickly create relevant, scalable, and lightning-fast Search and Discovery experiences.
Add a powerful full-text search to your site using a simple API - IndexTank compatible.
AI-driven search solutions, powering smarter consumer interfaces.
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