The latest Couchbase Server 4.6 release introduces several new SDK features aimed at enhancing development efficiency, including significant updates to big data connectors for Spark and Kafka. Native Collection bindings in the Couchbase SDK simplify mapping document data into language-specific structures such as List, Map, Set, and Queue, with .NET and Java having additional support from their Collections Frameworks. The integration with .NET Core supports cross-platform development, enabling applications to run across different operating systems without code changes. The Kafka 3.x updates improve integration with Sink and Source connectors, facilitating easier data streaming between Couchbase and Kafka through Kafka Streams technology, with simplified deployment via Kafka Connect and Confluent Control Center. Similarly, the Spark 2.x updates offer enhanced support for Spark 2.0, including Structured Streaming and Dynamic Topology for better failover and rebalancing. Overall, these updates aim to streamline development and deployment across various platforms and enhance the performance and scalability of applications using Couchbase.