Imply Polaris, a real-time analytics Database-as-a-Service powered by Apache Druid, has introduced several enhancements to improve user experience and analytical capabilities. Recent updates include the ability to query deep storage, enabling cost-effective historical data analysis alongside real-time processing, and the integration of window functions for more sophisticated calculations. Data pipeline management has been streamlined with the ability to ingest from multiple Kafka topics, and enhanced visibility through Kinesis ingestion metrics allows for better monitoring and alerting. New visualization options, such as flat table and gauge formats, enhance data exploration, while non-showable dimensions and unmet alert evaluations improve embedded visualizations and alert transparency. Additionally, updates to conditional formatting, project capacity metrics, and SQL compliance align with user needs for efficient project planning and standardized query handling, making Imply Polaris a more comprehensive and user-friendly platform for real-time analytics.