Imply Polaris, a real-time analytics Database-as-a-Service powered by Apache Druid, has introduced several new features aimed at enhancing data management, collaboration, and transformation. Key updates include improved metadata management capabilities, allowing for the ingestion of system fields from Amazon S3, which simplifies data integration and analysis. The platform also supports EARLIEST_BY and LATEST_BY functions for effective timestamp-based aggregation, particularly useful for time-series data. Additionally, users can now import and export JSON definitions for data cubes and dashboards to facilitate collaboration and data integrity. Audit Logs have been introduced to bolster security and oversight by tracking user management and authentication events. Finally, the inclusion of SQL PIVOT and UNPIVOT operators enhances data transformation by allowing users to restructure and aggregate data more effectively, aligning with SQL standards for more flexible analysis and reporting. These enhancements collectively improve the efficiency and user-friendliness of Imply Polaris for diverse analytics applications.