ArangoSearch vs Solr: What are the differences?

<Write Introduction here>

1. Scalability: ArangoSearch is tightly integrated into ArangoDB, enabling it to take advantage of its distributed nature for scalability, while Solr requires the use of external components for distributed operations.

2. Data Model: ArangoSearch supports a schema-less data model, allowing for flexible and dynamic indexing of data, whereas Solr requires a predefined schema for indexing documents.

3. Query Language: ArangoSearch leverages the AQL query language for searching and querying data, providing a unified way of querying both document and search indexes, while Solr uses a different query syntax based on Lucene query syntax.

4. Multi-Model Capabilities: ArangoSearch is part of a multi-model database (ArangoDB) allowing for seamless integration of full-text search with graph and document data models, while Solr is primarily focused on full-text search capabilities.

5. Transactions: ArangoDB provides multi-document transactions allowing for atomic operations across different data models, including ArangoSearch indexes, while Solr lacks built-in support for transactions.

6. Customization: ArangoSearch allows for custom analyzers and text processing pipelines to be defined for specific use cases, providing a high level of customization that may not be as straightforward in Solr.

In Summary, ArangoSearch and Solr differ in terms of scalability, data model, query language, multi-model capabilities, transactions, and customization options.