A company builds near real-time dashboards for time series data ingested into Amazon MSK. A custom pipeline consumes the stream and writes to Amazon Keyspaces, Amazon OpenSearch Service, and Avro objects in S3. Which option will make data available to the dashboards with the LEAST latency?

The correct option is to create OpenSearch Dashboards using data from OpenSearch Service because OpenSearch Service is designed for near real-time analytics and provides low-latency querying capabilities, making it ideal for dashboards requiring up-to-date information. OpenSearch Dashboards is a native visualization tool that integrates seamlessly, minimizing data transfer and processing delays. The other options introduce additional layers or services that increase latency. Using Amazon Athena with S3 and an Apache Hive metastore, or with Keyspaces as a data catalog, involves querying data stored in S3, which is not optimized for near real-time, low-latency dashboarding compared to OpenSearch Service. Similarly, using AWS Glue and S3 Select, while efficient for certain use cases, adds overhead and is generally slower than directly querying an OpenSearch Service cluster for real-time visualization.