Amazon Kinesis enables you to ingest, buffer and process streaming data in real-time. It can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies along with the flexibility to choose the tools that best suit the requirements of your application. Kinesis supports various data formats such as audio, video, application logs, clickstream data, and IoT data. It provides unique streaming services to ingest and leverage this data to perform machine learning as well as advanced analytics.

Trino is a distributed SQL query engine that retrieves vast data sets for efficient, low-latency big data analytics. It offers rapid SQL query processing without storing data itself. Trino's distributed design involves a coordinator node managing tasks and numerous worker nodes processing data, ensuring efficient query execution. RudderStack supports Trino as a source from which you can ingest data and route it to your desired downstream destinations.