Couchbase Server version 6.0 Beta introduces the Couchbase Analytics Service (CBAS), designed to perform complex, ad hoc queries on large datasets without affecting operational throughput by functioning as a separate, scalable service. The service was showcased in a technical demonstration using over 100 million synthesized medical data documents based on the FHIR standard, highlighting the ease of configuration and the absence of ETL processes. The setup involves creating datasets and executing queries with SQL++, a language optimized for JSON formats. The analytics queries, primarily executed via REST endpoints in a Node.js environment, utilize sophisticated strategies like index nested loop joins for efficient data retrieval and visualization through Chart.js. The blog post emphasizes query optimization and provides insights into the query planning and execution process, illustrating the benefits of hints in improving query performance. Additionally, the post offers resources for further exploration of Couchbase and encourages community engagement through various platforms.