1. Elasticsearch is an open source, distributed, RESTful search engine.

  2. Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

  3. The simplest way to add search to your website or application. Sign up for free.

  4. Amazon CloudSearch is a fully-managed service in the cloud that makes it easy to set up, manage, and scale a search solution for your website.

  5. Ambar is a fast, open-sources document search and management system with the automated crawling, instant full-text search and tagging.

  6. Home Page. Let's create the home page displaying your recent posts. Before we start, you should know at least some basics about Model-View-Presenter design pattern (similar to MVC ):. Model โ€“ data manipulation layer.

  7. Xapian is an open source probabilistic information retrieval library, released under the GNU...

  8. OpenSearchServer is an open source application server allowing development of index-based...

  9. Site Search 360 enhances and improves your built-in CMS search with autocompletion, semantic search, filters, facets, detailed analytics, and a whole lot of customization options.

    freemium $9.0 / Monthly ("1,500 pages/products", "5,000 monthly searches")

  10. [READ ONLY] Subtree split of the Illuminate Database component (see laravel/framework) - illuminate/database

  11. Swiftype Site Search helps to sell more, get the right answer to more people on the platform and surface relevant content for readers and followers.

  12. Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.


Apache Solr Reviews

A list of external sources with helpful reviews and comparisons of Apache Solr

Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In...
Source: greenice.net
All Apache Solr reviews โ†’

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This article was published on | Author: | Publisher: SaaSHub
Categories: Custom Search Engine, Custom Search, Search API