Apache Solr provides a rich set of features that make it a popular choice for building search applications. Some of the key features include:
1. Full-text search: Solr provides full-text search capabilities, allowing users to search large volumes of text-based data with high accuracy. It supports stemming, stop words, synonyms, and other text analysis features.
2. Indexing: Solr can index a wide range of data types, including documents, web pages, and databases. It supports multiple indexing formats such as XML, JSON, and CSV.
3. Faceted search: Solr provides faceted search capabilities, allowing users to filter search results based on different criteria, such as category, price, or date.
4. Hit highlighting: Solr provides hit highlighting capabilities, allowing users to see where their search terms appear in the search results.
5. Spell checking: Solr includes a spell checking component that can suggest alternative spellings for search terms.
6. Geospatial search: Solr provides geospatial search capabilities, allowing users to search for data based on geographic location.
7. Scalability: Solr is designed to scale horizontally, allowing it to handle large volumes of data and high query volumes.
8. RESTful API: Solr provides a RESTful API for indexing and querying data, making it easy to integrate with other applications.
9. Customizable: Solr is highly customizable, allowing developers to extend its functionality through plugins, custom code, and configuration.
Overall, Apache Solr provides a powerful and flexible search platform that can be used to build a wide range of search applications.