Gatling vs Solr: What are the differences?

# Introduction
In this Markdown document, we will compare the key differences between Gatling and Solr, specifically highlighting their distinctive characteristics in a concise manner.

1. **Purpose**: Gatling is primarily used for load testing and performance monitoring of web applications, while Solr is a search platform built on Apache Lucene and is utilized for full-text searching, hit highlighting, and faceted search.

2. **Functionality**: Gatling simulates virtual users to generate traffic on web applications to test performance under different scenarios, whereas Solr is focused on indexing and searching large volumes of textual data quickly and efficiently, providing relevant search results.

3. **Use Cases**: Gatling is commonly employed by developers and quality assurance teams to measure the performance of web applications and identify bottlenecks, whereas Solr is integrated into various systems such as e-commerce platforms, content management systems, and document repositories to enhance search capabilities.

4. **Architecture**: Gatling follows a distributed, asynchronous, and non-blocking design to efficiently simulate thousands of concurrent users, while Solr utilizes Apache Lucene's inverted indexing and search algorithms to deliver fast and accurate results.

5. **Scalability**: Gatling can scale horizontally by adding more virtual user instances across multiple machines to simulate large user loads, whereas Solr can be scaled both vertically by increasing resources on a single machine and horizontally by distributing index shards across multiple nodes for improved search performance.

6. **Community and Support**: Gatling has a vibrant open-source community with active development and regular updates, offering extensive documentation and user forums for assistance, while Solr is backed by the Apache Software Foundation, providing robust support, tutorials, and resources for users leveraging its search capabilities.

In Summary, the key differences between Gatling and Solr lie in their distinct purposes, functionalities, use cases, architectures, scalability options, and community support structures, catering to diverse needs in the realms of load testing and search indexing, respectively.