Both Solr and Elasticsearch are open-source search engines built on top of Apache Lucene, but they differ in certain features, user interfaces, and ecosystem support.
Elasticsearch is known for its ease of use, scalability, and integration with the Elastic Stack (including Kibana and Logstash). It is often favored for real-time search applications, logging, and analytics due to its distributed nature and seamless scaling. Elasticsearch has a more modern and simplified RESTful interface, making it easier to implement and use for developers.
On the other hand, Solr offers more advanced query capabilities, better handling of complex data types, and richer support for enterprise search features such as faceting, filtering, and complex data structures. It also supports a wider range of input formats and is generally preferred for large-scale, mission-critical enterprise applications. Solr provides more fine-tuned control over indexing and searching but requires more setup and configuration. Both are powerful, but the choice depends on specific use cases and technical requirements.