elasticsearch vs manticore: What are the differences?

# Introduction
This Markdown code provides a comparison between Elasticsearch and Manticore.

1. **Data Storage**: Elasticsearch stores data in JSON format, while Manticore uses an internal binary format, which is more efficient for data retrieval and more secure as it does not expose raw data.
   
2. **Indexing Performance**: Manticore generally has better indexing performance compared to Elasticsearch due to its optimized indexing process and internal data format, making it faster in handling large volumes of data.
   
3. **Search Performance**: Elasticsearch is known for its superior search performance, especially in complex queries and aggregations, making it a preferred choice for applications requiring heavy search functionality.
   
4. **Clustering and Scalability**: Elasticsearch has robust clustering and scalability features, allowing it to easily scale horizontally by adding more nodes to distribute the load, while Manticore's clustering capabilities are less advanced in comparison.
   
5. **Query Language Support**: Elasticsearch supports a wide range of query languages and DSLs, such as Query DSL and Aggregations, providing more flexibility and advanced search capabilities, whereas Manticore has limited query language support.
   
6. **Community and Ecosystem**: Elasticsearch has a larger community and ecosystem with more third-party plugins and integrations available, making it easier to find solutions and support compared to Manticore.

In Summary, the key differences between Elasticsearch and Manticore lie in data storage, indexing performance, search performance, clustering and scalability, query language support, and community and ecosystem.