What are the differences between Solr and Elasticsearch?

What are the differences between Solr and Elasticsearch?

Both Solr and Elasticsearch are powerful search engines, but they have different architectures and features. Solr is built on Apache Lucene and is known for its rich feature set and powerful querying capabilities. Elasticsearch, also built on Lucene, is designed for distributed search and analytics, making it more scalable.

Which one is better for large datasets?

Elasticsearch is generally considered better for large datasets due to its distributed nature, allowing it to scale horizontally. It can handle large volumes of data and provide fast search responses.

What about ease of use?

Solr has a more complex setup and configuration process, while Elasticsearch is often praised for its simplicity and ease of use, especially for developers.

Can you give examples of use cases for each?

Sure! Solr is often used in enterprise search applications, while Elasticsearch is popular for log and event data analysis, such as in the ELK stack (Elasticsearch, Logstash, Kibana).