Apache Solr vs Lucene: What are the differences?

# Introduction
This markdown provides a comparison between Apache Solr and Lucene, two popular search technologies used for information retrieval.

1. **Architecture**: Lucene is a Java-based search library that provides indexing and searching capabilities at a lower level, while Apache Solr is built on top of Lucene and provides a more user-friendly, feature-rich search platform with additional functionalities such as full-text search, faceted search, and result highlighting. 
2. **Scalability**: Apache Solr is designed for high scalability and can handle large volumes of data efficiently through distributed indexing and querying, while Lucene is best suited for smaller-scale applications that do not require the same level of scalability.
3. **Ease of Use**: Apache Solr offers a more user-friendly interface and configuration options compared to Lucene, making it easier for developers to set up and customize search functionalities without needing to delve deep into the intricacies of the underlying search engine library.
4. **Management and Monitoring**: Apache Solr provides built-in tools for managing and monitoring search indexes, as well as monitoring performance metrics, whereas Lucene requires developers to implement their monitoring and management tools or rely on third-party solutions.
5. **Community Support**: Apache Solr has a larger and more active community compared to Lucene, resulting in frequent updates, bug fixes, and new features being added to the platform, ensuring better long-term support and development.
6. **Deployment Options**: Apache Solr can be deployed as a standalone server or as a part of a larger application stack, making it flexible for various use cases, while Lucene is typically embedded within an application, limiting deployment options.

In Summary, Apache Solr provides a more scalable, user-friendly, and feature-rich search platform compared to Lucene, making it the preferred choice for applications requiring advanced search functionalities and high scalability.